ce-fallback-test

Test fallback visibility in pytest by applying the enable_fallbacks fixture, then asserting UserWarning emissions with pytest.warns and verifying INFO log side effects using caplog checks. This ensures fallback behavior remains observable and correct.

pytest caplog captures INFO log side effects during fallback testing by intercepting log records emitted when opt-in fixtures trigger fallback paths. You assert captured records to verify observability signals are correctly logged alongside valid test outputs.

The best way to assert UserWarning emissions for opt-in fallback paths is using pytest.warns context managers. This verifies that enabling fallbacks explicitly emits the expected warnings while the test confirms output remains valid.

Yes, this fallback testing workflow applies specifically to pytest-based test suites for calibrated_explanations. It enforces using the enable_fallbacks fixture, pytest.warns assertions, and caplog checks to verify robust fallback visibility behavior.

pytest fallback tests fail when opt-in fixtures are enabled if warning assertions or caplog checks do not match the emitted UserWarning and INFO log side effects. Ensure the enable_fallbacks fixture is used and outputs remain valid.