Make test suite more random and add add_noise_to_params, move to Github Actions, etc..

.codecov.yml

@@ -0,0 +1,15 @@
+codecov:
+  notify:
+    require_ci_to_pass: yes
+
+coverage:
+  precision: 2
+  round: down
+  range: "50...100"
+
+ignore:
+  - ".tox/**/*"
+  - "release.py"
+  - "setup.py"
+  - "respy/conftest.py"
+  - "respy/tests/**/*"

.github/workflows/continuous-integration-workflow.yml

@@ -0,0 +1,53 @@
+name: Continuous Integration Workflow
+on:
+  push:
+    branches:
+    - master
+  pull_request:
+    branches:
+    - '*'
+
+jobs:
+  run-tests:
+    name: Run tests for ${{ matrix.os }} on ${{ matrix.python-version }}
+    runs-on: ${{ matrix.os }}
+    strategy:
+      fail-fast: false
+      matrix:
+        os: ['ubuntu-latest', 'macos-latest', 'windows-latest']
+        python-version: ['3.6', '3.7']
+    steps:
+      - uses: actions/checkout@v2
+      - uses: goanpeca/setup-miniconda@v1
+        with:
+          auto-update-conda: true
+          python-version: ${{ matrix.python-version }}
+
+      - name: Install core dependencies.
+        shell: bash -l {0}
+        run: conda install -c conda-forge tox-conda
+
+      - name: Install fixes for Python 3.7 on Windows
+        if: runner.os == 'Windows' && matrix.python-version == '3.7'
+        shell: bash -l {0}
+        run: conda install -c conda-forge numpy scipy conda-build
+
+      - name: Run pytest.
+        shell: bash -l {0}
+        run: tox -e pytest -- -m "not slow" --cov-report=xml --cov=./
+
+      - name: Upload coverage report.
+        if: runner.os == 'Linux' && matrix.python-version == '3.7'
+        uses: codecov/codecov-action@v1
+        with:
+          token: ${{ secrets.CODECOV_TOKEN }}
+
+      - name: Run sphinx.
+        if: runner.os == 'Linux' && matrix.python-version == '3.7'
+        shell: bash -l {0}
+        run: tox -e sphinx
+
+      - name: Run pre-commits.
+        if: runner.os == 'Linux' && matrix.python-version == '3.7'
+        shell: bash -l {0}
+        run: tox -e linting

CHANGES.rst

@@ -9,70 +9,78 @@ releases are available on `Anaconda.org
 2.0.0 - 2019-
 -------------
 
-- :gh:`177` removes all Fortran files and ensures that all tests still run through.
-- :gh:`193` continues on the removal of Fortran.
+- :gh:`177` removes all Fortran files and ensures that all tests still run through
+  (:ghuser:`tobiasraabe`).
+- :gh:`193` continues on the removal of Fortran (:ghuser:`tobiasraabe`).
 - :gh:`199` makes the reward components modular (:ghuser:`janosg`).
 - :gh:`200` implements the Kalman filter which allows to estimate measurement error in
   wages (:ghuser:`janosg`).
 - :gh:`201` implements a flexible state space which is first and foremost flexible in
-  the number of choices with experience and wages, but open to be extended.
-- :gh:`204` adds more thesis proposals.
+  the number of choices with experience and wages, but open to be extended
+  (:ghuser:`tobiasraabe`).
+- :gh:`204` adds more thesis proposals (:ghuser:`tobiasraabe`).
 - :gh:`205` implements Azure Pipelines as the major CI, but we still rely on Travis-CI
   for deploying the package to PyPI (:ghuser:`tobiasraabe`).
 - :gh:`206` prepares estimation with `estimagic
-  <https://github.com/OpenSourceEconomics/estimagic>`_
-- :gh:`208` implements parsing of choices from data frame.
+  <https://github.com/OpenSourceEconomics/estimagic>`_ (:ghuser:`tobiasraabe`).
+- :gh:`208` implements parsing of choices from DataFrame (:ghuser:`tobiasraabe`).
 - :gh:`209` adds parameterizations of Keane and Wolpin (1997) plus adaptive rescaling
   step within the likelihood aggregation which prevents under- and overflows in the
   contributions (:ghuser:`janosg`).
 - :gh:`211` generalizes the construction of type probabilities with arbitrary
   covariates.
 - :gh:`221` implements a new interface for the simulation which is similar to the
-  estimation and reduces runtime for multiple simulations by a factor of four.
+  estimation and reduces runtime for multiple simulations by a factor of four
+  (:ghuser:`tobiasraabe`).
 - :gh:`230` allows the model to include observed variables which are time-invariant
   (:ghuser:`mo2561057`, :ghuser:`tobiasraabe`)
-- :gh:`236` implements a periodic indexer.
-- :gh:`240` makes previous choices in the state space optional.
-- :gh:`245` create continuation values dynamically from value functions.
+- :gh:`236` implements a periodic indexer (:ghuser:`tobiasraabe`).
+- :gh:`240` makes previous choices in the state space optional (:ghuser:`tobiasraabe`).
+- :gh:`245` create continuation values dynamically from value functions
+  (:ghuser:`tobiasraabe`).
 - :gh:`256` implements quasi-random low discrepancy sequences for better Monte-Carlo
   integrations (:ghuser:`rafaelsuchy`).
 - :gh:`262` moves the distribution of previous choices, initial and maximum experience
-  to params.
+  to params (:ghuser:`tobiasraabe`).
 - :gh:`268` makes seeding in ``respy`` a lot more robust by using incrementally
-  increasing sequences.
+  increasing sequences (:ghuser:`janosg`, :ghuser:`tobiasraabe`).
 - :gh:`269` improves the generation of conditional draws with and without measurement
   error in the likelihood calculation (:ghuser:`janosg`).
-- :gh:`275` fixes a bug in calculation of wage probabilities.
+- :gh:`275` fixes a bug in calculation of wage probabilities (:ghuser:`tobiasraabe`).
 - :gh:`277` adds three different simulation methods: n-step-ahead simulation with
-  sampling or data and one-step-ahead simulation.
+  sampling or data and one-step-ahead simulation (:ghuser:`tobiasraabe`).
 - :gh:`278`, :gh:`279`, and :gh:`280` implement three functions, log softmax, softmax,
   and logsumexp, which reduce the likelihood of under- and overflows and save
   information (:ghuser:`tobiasraabe`).
 - :gh:`282` adds an interface for the estimation of models with the method of simulated
   moments (:ghuser:`amageh`, :ghuser:`mo2561057`, :ghuser:`tobiasraabe`).
-- :gh:`285` adds the ability to generate a set of constraint for example models.
+- :gh:`285` adds the ability to generate a set of constraint for example models
+  (:ghuser:`tobiasraabe`).
 - :gh:`288` fixes an error in the simulation of choice probabilities introduced by
   :gh:`278` (:ghuser:`peisenha`).
 - :gh:`296` contributes a new toy model to respy: The Robinson Crusoe Economy
   (:ghuser:`tobiasraabe`, :ghuser:`peisenha`)
 - :gh:`299` adds the information on the previous choice to individuals at age sixteen to
   the original data from Keane and Wolpin (1997). Special thanks to :ghuser:`bekauf` for
   the data preparation.
-- :gh:`300` aligns respy functions with the new data in :gh:`299`.
+- :gh:`300` aligns respy functions with the new data in :gh:`299`
+  (:ghuser:`tobiasraabe`).
 - :gh:`314` fixes two parameters in KW97 and KW2000 (:ghuser:`tostenzel`,
   :ghuser:`tobiasraabe`).
 - :gh:`316` changes the invalid index value for the indexer to prevent silent errors
   (:ghuser:`tobiasraabe`).
 - :gh:`319` adds a page for projects using ``respy`` (:ghuser:`tobiasraabe`). :gh:`321`
   adds more projects.
+- :gh:`320` adds ``add_noise_to_params()`` and makes the test suite faster, tests more
+  random, moved to Github Actions, and more badges.
 - :gh:`323` adds an informative message if simulated individuals cannot be mapped to
   states in the state space (:ghuser:`mo2561057`, :ghuser:`tobiasraabe`).
 
 1.2.1 - 2019-05-19
 ------------------
 
 - :gh:`170` adds a test for inadmissible states in the state space.
-- :gh:`180` adds a long description to the PYPi package.
+- :gh:`180` adds a long description to the PyPI package.
 - :gh:`181` implements `nbsphinx <https://nbsphinx.readthedocs.io/en/latest/>`_ for a
   documentation based on notebooks and reworks structure and graphics.
 - :gh:`183` adds a small set of regression tests.

README.rst

@@ -10,11 +10,17 @@ respy
 .. image:: https://readthedocs.org/projects/respy/badge/?version=latest
     :target: https://respy.readthedocs.io/en/latest
 
-.. image:: https://dev.azure.com/OpenSourceEconomics/respy/_apis/build/status/OpenSourceEconomics.respy?branchName=master
-    :target: https://dev.azure.com/OpenSourceEconomics/respy/_build/latest?definitionId=1&branchName=master
+.. image:: https://img.shields.io/badge/License-MIT-yellow.svg
+    :target: https://opensource.org/licenses/MIT
+
+.. image:: https://github.com/OpenSourceEconomics/respy/workflows/Continuous%20Integration%20Workflow/badge.svg?branch=master
+    :target: https://github.com/OpenSourceEconomics/respy/actions?query=branch%3Amaster
+
+.. image:: https://codecov.io/gh/OpenSourceEconomics/respy/branch/master/graph/badge.svg
+  :target: https://codecov.io/gh/OpenSourceEconomics/respy
 
 .. image:: https://img.shields.io/badge/code%20style-black-000000.svg
-    :target: https://github.com/python/black
+    :target: https://github.com/psf/black
 
 ``respy``  is an open-source Python package for the simulation and estimation of a
 prototypical finite-horizon discrete choice dynamic programming model. We build on the