This PR adds support for automated unit testing. It also includes a unit test to compare outputs from Bonsai and Python running the LDS model for linear regression.
Change to solution file
The Bonsai.ML.sln file is pulled out from the src folder and into the main repo. This allows the solution file to have a structured hierarchy which encompass both src and tests, consistent with other .NET projects (e.g. ml.net).
Test workflow
The test.yml github workflow will build the solution and run tests on the solution. If the test requires running a Bonsai workflow, the individual unit test should include a Bonsai.config file for recreating the bonsai environment.
Receptive field simple cell test
The tests/Bonsai.ML.LinearDynamicalSystems.Tests/ReceptiveFieldSimpleCellTest folder contains a test method to download the data, setup a python and Bonsai environment with the necessary packages installed, generate the python and Bonsai outputs and compare.
Summary
This PR adds support for automated unit testing. It also includes a unit test to compare outputs from Bonsai and Python running the LDS model for linear regression.
Change to solution file
The Bonsai.ML.sln file is pulled out from the
srcfolder and into the main repo. This allows the solution file to have a structured hierarchy which encompass bothsrcandtests, consistent with other .NET projects (e.g. ml.net).Test workflow
The
test.ymlgithub workflow will build the solution and run tests on the solution. If the test requires running a Bonsai workflow, the individual unit test should include a Bonsai.config file for recreating the bonsai environment.Receptive field simple cell test
The
tests/Bonsai.ML.LinearDynamicalSystems.Tests/ReceptiveFieldSimpleCellTestfolder contains a test method to download the data, setup a python and Bonsai environment with the necessary packages installed, generate the python and Bonsai outputs and compare.