Unit Testing with Pytest
summary
Unit testing with pytest: shows how unit tests provide confidence for refactors and document behavior, demonstrates pytest’s precise failure diffs, and recommends stubbing heavy computations to keep tests fast. Uses concrete examples: a make_adict wrapper around code and a slow son_calculation function replaced with mocker.patch(autospec=True) so only wrapper logic is tested; illustrates fixtures returning Person instances, @pytest.mark.parametrize for multiple scenarios, and test selection using pytest -m / -k plus marking slow tests.
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