MIPLearn v0.3

tests/components/primal/test_indep.py

@@ -0,0 +1,51 @@
+#  MIPLearn: Extensible Framework for Learning-Enhanced Mixed-Integer Optimization
+#  Copyright (C) 2020-2022, UChicago Argonne, LLC. All rights reserved.
+#  Released under the modified BSD license. See COPYING.md for more details.
+from typing import List, Dict, Any
+from unittest.mock import Mock, call
+
+from sklearn.dummy import DummyClassifier
+
+from miplearn.components.primal.actions import SetWarmStart
+from miplearn.components.primal.indep import IndependentVarsPrimalComponent
+from miplearn.extractors.fields import H5FieldsExtractor
+
+
+def test_indep(multiknapsack_h5: List[str]) -> None:
+    # Create and fit component
+    clone_fn = Mock(return_value=Mock(wraps=DummyClassifier()))
+    comp = IndependentVarsPrimalComponent(
+        base_clf="dummy",
+        extractor=H5FieldsExtractor(var_fields=["lp_var_values"]),
+        clone_fn=clone_fn,
+        action=SetWarmStart(),
+    )
+    comp.fit(multiknapsack_h5)
+
+    # Should call clone 100 times and store the 100 classifiers
+    clone_fn.assert_has_calls([call("dummy") for _ in range(100)])
+    assert len(comp.clf_) == 100
+
+    for v in [b"x[0]", b"x[1]"]:
+        # Should pass correct data to fit
+        comp.clf_[v].fit.assert_called()
+        x, y = comp.clf_[v].fit.call_args.args
+        assert x.shape == (3, 1)
+        assert y.shape == (3,)
+
+    # Call before-mip
+    stats: Dict[str, Any] = {}
+    model = Mock()
+    comp.before_mip(multiknapsack_h5[0], model, stats)
+
+    # Should call predict with correct args
+    for v in [b"x[0]", b"x[1]"]:
+        comp.clf_[v].predict.assert_called()
+        (x_test,) = comp.clf_[v].predict.call_args.args
+        assert x_test.shape == (1, 1)
+
+    # Should set warm starts
+    model.set_warm_starts.assert_called()
+    names, starts, _ = model.set_warm_starts.call_args.args
+    assert len(names) == 100
+    assert starts.shape == (1, 100)