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# Python testing with `pytest`
This is a very simple outline of this workshop:
- General introduction to testing and Test Driven Development (TDD)
- Start with a very simple example, `gcd`.
- Show how to do the simplest TDD using `pytest`.
- Basic `pytest` features:
- Testing cases where an exception should be raised
- Testing floating point numbers with `pytest.approx`
- Grouping tests in classes.
- Next take a more complex problem:
- Find all the git repositories recursively inside a given directory.
- Write tests for this.
- General approach on how to do this.
- Use TDD.
- Writing fixtures:
- Previous example as motivation for this.
- Creating simple fixtures.
- Fixture cleanup.
- Fixture with data.
- Fixtures using other fixtures.
- Fixture scope and other ways to use fixtures with `pytest.mark`
- Some pointers on how to write better tests.
- Link to useful articles.
- Interlude, travis-ci
- Push code to github
- Setup travis-ci
- .travis.yml
- Run tests.
- Show updates and PRs.
- Add badge to README.
- Coverage and improving tests.
- Look at coverage
- Show simple reports
- HTML reports.
- Setup codecov.
- See how codecov shows the reports and tracks coverage
- Explore codecov.io
- More on testing with pytest
- Using tmpdir.
- Using capsys.
- Using monkeypatch/mock.
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