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Implement a comprehensive test coverage framework that integrates with pytest-cov to generate code coverage reports for the yt-dlp codebase. Key components: - Configuration file (.coveragerc) with appropriate include/exclude patterns - Helper script (run_coverage.py) with parallel report generation - GitHub Actions workflow for automatic coverage reporting on PRs and pushes - Support for Hatch testing environment and CLI integration - Testing documentation for running coverage reports - Sample test for demonstrating coverage reporting
1,001 B
1,001 B
yt-dlp Tests
This directory contains tests for the yt-dlp codebase.
Running Tests
Using hatch (requires pip install hatch
)
# Run tests for a specific test file
hatch run hatch-test:run test/test_utils.py
# Run a specific test class or method
hatch run hatch-test:run test/test_utils.py::TestUtil
hatch run hatch-test:run test/test_utils.py::TestUtil::test_url_basename
# Run with verbosity
hatch run hatch-test:run -- test/test_utils.py -v
Using pytest directly
# Run a specific test file
python -m pytest test/test_utils.py
# Run a specific test class or method
python -m pytest test/test_utils.py::TestUtil
python -m pytest test/test_utils.py::TestUtil::test_url_basename
# Run with verbosity
python -m pytest -v test/test_utils.py
Important: Always run tests from the project root directory, not from a subdirectory.
Code Coverage
For information on running tests with code coverage, see the documentation in .coverage-reports/README.md
.