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25 lines
930 B
25 lines
930 B
# MIPLearn: Extensible Framework for Learning-Enhanced Mixed-Integer Optimization
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# Copyright (C) 2020-2022, UChicago Argonne, LLC. All rights reserved.
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# Released under the modified BSD license. See COPYING.md for more details.
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import numpy as np
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from miplearn.extractors.abstract import FeaturesExtractor
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from miplearn.h5 import H5File
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class DummyExtractor(FeaturesExtractor):
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def get_instance_features(self, h5: H5File) -> np.ndarray:
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return np.zeros(1)
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def get_var_features(self, h5: H5File) -> np.ndarray:
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var_types = h5.get_array("static_var_types")
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assert var_types is not None
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n_vars = len(var_types)
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return np.zeros((n_vars, 1))
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def get_constr_features(self, h5: H5File) -> np.ndarray:
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constr_sense = h5.get_array("static_constr_sense")
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assert constr_sense is not None
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n_constr = len(constr_sense)
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return np.zeros((n_constr, 1))
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