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https://github.com/ANL-CEEESA/MIPLearn.git
synced 2025-12-06 01:18:52 -06:00
Use np.ndarray for constraint names
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@@ -32,9 +32,9 @@ def sample() -> Sample:
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"type-b",
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],
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"static_constr_lazy": [True, True, True, True, False],
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"static_constr_names": ["c1", "c2", "c3", "c4", "c5"],
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"static_constr_names": np.array(["c1", "c2", "c3", "c4", "c5"], dtype="S"),
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"static_instance_features": [5.0],
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"mip_constr_lazy_enforced": {"c1", "c2", "c4"},
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"mip_constr_lazy_enforced": {b"c1", b"c2", b"c4"},
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"lp_constr_features": [
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[1.0, 1.0],
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[1.0, 2.0],
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@@ -110,7 +110,7 @@ def test_usage_with_solver(instance: Instance) -> None:
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# Should ask internal solver to remove some constraints
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assert internal.remove_constraints.call_count == 1
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internal.remove_constraints.assert_has_calls([call(["c3"])])
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internal.remove_constraints.assert_has_calls([call([b"c3"])])
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# LearningSolver calls after_iteration (first time)
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should_repeat = component.iteration_cb(solver, instance, None)
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@@ -142,7 +142,7 @@ def test_usage_with_solver(instance: Instance) -> None:
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)
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# Should update training sample
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assert sample.get_set("mip_constr_lazy_enforced") == {"c1", "c2", "c3", "c4"}
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assert sample.get_set("mip_constr_lazy_enforced") == {b"c1", b"c2", b"c3", b"c4"}
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#
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# Should update stats
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assert stats["LazyStatic: Removed"] == 1
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@@ -170,7 +170,7 @@ def test_sample_predict(sample: Sample) -> None:
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]
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)
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pred = comp.sample_predict(sample)
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assert pred == ["c1", "c2", "c4"]
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assert pred == [b"c1", b"c2", b"c4"]
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def test_fit_xy() -> None:
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