Overhaul active learning unit tests to use real components and pytest-mock#543
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smcolby wants to merge 1 commit into
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Overhaul active learning unit tests to use real components and pytest-mock#543smcolby wants to merge 1 commit into
smcolby wants to merge 1 commit into
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…-mock - Add test_acquisition.py: validates each acquisition function against its mathematical formula using numpy arrays - Refactor test_active_learning.py: replace integration-style tests (loading real anvil models from disk) with lightweight synthetic data and DummyRegressorModel; assert actual calibration math and mutual- exclusion properties; use pytest.approx / assert_allclose throughout - Add test_ensemble_base.py: covers get_ensemble_class success and invalid-type error paths Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
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Summary
Rewrites the active learning unit test suite to conform to the new unit test standards.
Changes
test_acquisition.py(new) — validates each acquisition function (max_uncertainty_reduction,exploitation,probability_improvement,expected_improvement,upper_confidence_bound) against its explicit mathematical formula using synthetic numpy arrays; verifies all shorthandaliases map to the correct implementations
test_active_learning.py(refactored) — replaces integration-style tests that loaded real anvil models from disk with lightweightsynthetic data and
DummyRegressorModel; covers committee query/predict, calibration (isotonic regression + scaling factor), save/load andserialize/deserialize round-trips, and uncertainty calibration plots; uses
assert_allclosethroughouttest_ensemble_base.py(new) — coversget_ensemble_classfor a valid key and raisesValueErrorfor an unknown key