Use codecov for code coverage #162
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Tensorflow and TFP don't seem to support python3.8 yet... I'll just drop the python3.8 test env entirely until they package TF and TFP for py38 |
lucianopaz
changed the title
ColCarroll
reviewed
Nov 21, 2019
| @@ -44,14 +44,7 @@ steps: | |||
| python -m pytest -xv --cov pymc4 --junitxml=junit/test-results.xml --cov-report xml --cov-report term --cov-report html . | |||
| displayName: "pytest" | |||
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| - task: PublishTestResults@2 | |||
| - script: | | |||
| bash <(curl -s https://codecov.io/bash) | |||
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neat! does this just run a bash script that will check for $CODECOV_TOKEN?
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Yup. At least it doesn't seem to be required on azure
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I made an almost empty commit to get the first coverage report uploaded properly to codecov |
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Codecov was a nice replacement for coveralls in pymc3. This PR changes the currently used azure-pipelines coverage publisher and reporter tasks to codecov.io instead. We'll get the same nice coverage graphs for PRs and reports as in pymc3.
I also added a python3.8 test environment (as it's basically free because we haven't hit the limit of parallel jobs in azure).