Parallelized Behavioural Driven Development testing #187
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Bumps [pytest](https://github.com/pytest-dev/pytest) from 5.4.3 to 6.1.2. - [Release notes](https://github.com/pytest-dev/pytest/releases) - [Changelog](https://github.com/pytest-dev/pytest/blob/master/CHANGELOG.rst) - [Commits](pytest-dev/pytest@5.4.3...6.1.2)
Behavioural Driven Development library for the pytest runner!
weiji14
added
dependencies
The pytest distributed testing plugin!
Towards a properly tested and reproducible pipeline for finding and analyzing subglacial lake clusters in Antarctica! Moving the find_clusters DBSCAN algorithm from atlxi_lake.ipynb into a properly tested and documented function inside lake_algorithms.py. Importing cudf/pandas as xpd to enable cross-device (GPU/CPU) use, and ensure that an xpd.Series is returned. Test scenarios (written in Gherkin) are in the subglacial_lakes.feature file, and integration tests with Given-When-Then statements are in test_subglacial_lakes.py. There was quite a bit of boilerplate BDD code to set up, including the empty context class for passing contextual objects between steps. The test parquet file is somewhat hardcoded to a Github URL, and is cached using fsspec's simplecache mechanism (ideally would use intake-parquet if it worked). Still need some more robust tests, as the cuml and scikit-learn DBSCAN algorithms return a different number of clusters for whillans_upstream.
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Getting into gherkins once more! Will be helpful to run integration tests on a lot of test cases (read: parallelize processing/visualization scripts in parallel on many subglacial lakes). Xref #149.
TODO:
References: