pytest

To run unittest tests with pytest, use pytest as a secondary runner to execute and filter your existing test suites. This approach allows you to apply selection filters and collect coverage without replacing your primary unittest-based testing workflow.

Structuring reusable test fixtures in Python involves defining practical patterns for fixture teardown and managing fixture scopes. This approach keeps your tests maintainable by providing consistent setup and teardown logic across your test suites.

Using markers in pytest allows you to select or skip tests using skip and skipif conditions. This mechanism supports test selection for day-to-day engineering workflows, enabling you to filter and execute targeted subsets of your test suite.

Yes, pytest supports parametrized assertions and async test execution. These capabilities, combined with convenient command-line execution, allow you to handle complex testing scenarios and organize your test suites efficiently.

Yes, pytest works with unittest-centered codebases by acting as an auxiliary runner for filtering and coverage wrapping. It satisfies requirements for clear unittest-first governance by using pytest only to run, filter, or collect coverage rather than replacing the canonical tests.