MIPLearn v0.3

miplearn/extractors/dummy.py

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+#  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.
+import numpy as np
+
+from miplearn.extractors.abstract import FeaturesExtractor
+from miplearn.h5 import H5File
+
+
+class DummyExtractor(FeaturesExtractor):
+    def get_instance_features(self, h5: H5File) -> np.ndarray:
+        return np.zeros(1)
+
+    def get_var_features(self, h5: H5File) -> np.ndarray:
+        var_types = h5.get_array("static_var_types")
+        assert var_types is not None
+        n_vars = len(var_types)
+        return np.zeros((n_vars, 1))
+
+    def get_constr_features(self, h5: H5File) -> np.ndarray:
+        constr_sense = h5.get_array("static_constr_sense")
+        assert constr_sense is not None
+        n_constr = len(constr_sense)
+        return np.zeros((n_constr, 1))