ANL-CEEESA/MIPLearn.jl
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Replace Gurobi by Clp in most tests

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This commit is contained in:
Alinson S. Xavier
2021-05-26 10:36:24 -05:00
parent fa7f15b9bd
commit 9f516160ab
4 changed files with 17 additions and 17 deletions
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10
test/solvers/learning_test.jl
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@@ -2,14 +2,14 @@
# Copyright (C) 2020-2021, UChicago Argonne, LLC. All rights reserved.
# Released under the modified BSD license. See COPYING.md for more details.
using Cbc
using JuMP
using MIPLearn
using Gurobi
@testset "LearningSolver" begin
@testset "Model with annotations" begin
model = build_knapsack_model()
solver = LearningSolver(Gurobi.Optimizer)
solver = LearningSolver(Cbc.Optimizer)
instance = JuMPInstance(model)
stats = solve!(solver, instance)
@test stats["mip_lower_bound"] == 11.0
@@ -20,14 +20,14 @@ using Gurobi
@testset "Model without annotations" begin
model = build_knapsack_model()
solver = LearningSolver(Gurobi.Optimizer)
solver = LearningSolver(Cbc.Optimizer)
instance = JuMPInstance(model)
stats = solve!(solver, instance)
@test stats["mip_lower_bound"] == 11.0
end
@testset "Save and load" begin
solver = LearningSolver(Gurobi.Optimizer)
solver = LearningSolver(Cbc.Optimizer)
solver.py.components = "Placeholder"
filename = tempname()
save(filename, solver)
@@ -38,7 +38,7 @@ using Gurobi
@testset "Discard output" begin
instance = build_knapsack_file_instance()
solver = LearningSolver(Gurobi.Optimizer)
solver = LearningSolver(Cbc.Optimizer)
solve!(solver, instance, discard_output=true)
loaded = load_instance(instance.filename)
@test length(loaded.py.samples) == 0