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59 lines
1.5 KiB
59 lines
1.5 KiB
# MIPLearn: Extensible Framework for Learning-Enhanced Mixed-Integer Optimization
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# Copyright (C) 2020-2021, 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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using JuMP
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@pydef mutable struct PyJuMPInstance <: miplearn.Instance
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function __init__(self, model)
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self.model = model
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self.samples = []
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end
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function to_model(self)
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return self.model
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end
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function get_instance_features(self)
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return self.model.ext[:miplearn][:instance_features]
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end
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function get_variable_features(self, var_name)
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model = self.model
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v = variable_by_name(model, var_name)
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return model.ext[:miplearn][:variable_features][v]
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end
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function get_variable_category(self, var_name)
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model = self.model
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v = variable_by_name(model, var_name)
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return model.ext[:miplearn][:variable_categories][v]
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end
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function get_constraint_features(self, cname)
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model = self.model
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c = constraint_by_name(model, cname)
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return model.ext[:miplearn][:constraint_features][c]
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end
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function get_constraint_category(self, cname)
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model = self.model
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c = constraint_by_name(model, cname)
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return model.ext[:miplearn][:constraint_categories][c]
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end
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end
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struct JuMPInstance
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py::PyCall.PyObject
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end
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function JuMPInstance(model::Model)
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return JuMPInstance(PyJuMPInstance(model))
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end
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export JuMPInstance
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