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29 lines
878 B
29 lines
878 B
# 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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using MIPLearn
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using Cbc
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@testset "FileInstance" begin
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@testset "solve" begin
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model = build_knapsack_model()
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instance = JuMPInstance(model)
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filename = tempname()
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save(filename, instance)
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h5 = MIPLearn.Hdf5Sample(filename)
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@test h5.get_scalar("miplearn_version") == "0002"
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@test length(h5.get_bytes("mps")) > 0
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@test length(h5.get_scalar("jump_ext")) > 0
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file_instance = FileInstance(filename)
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solver = LearningSolver(Cbc.Optimizer)
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solve!(solver, file_instance)
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@test length(h5.get_vector("mip_var_values")) == 3
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end
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end
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