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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4
test/instance/file_test.jl
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@@ -4,7 +4,7 @@
using JuMP using JuMP
using MIPLearn using MIPLearn
using Gurobi using Cbc
@testset "FileInstance" begin @testset "FileInstance" begin
@@ -15,7 +15,7 @@ using Gurobi
save(filename, instance) save(filename, instance)
file_instance = FileInstance(filename) file_instance = FileInstance(filename)
solver = LearningSolver(Gurobi.Optimizer) solver = LearningSolver(Cbc.Optimizer)
solve!(solver, file_instance) solve!(solver, file_instance)
loaded = load_instance(filename) loaded = load_instance(filename)

8
test/runtests.jl
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@@ -8,9 +8,9 @@ using MIPLearn
MIPLearn.setup_logger() MIPLearn.setup_logger()
@testset "MIPLearn" begin @testset "MIPLearn" begin
# include("fixtures/knapsack.jl") include("fixtures/knapsack.jl")
include("solvers/jump_test.jl") include("solvers/jump_test.jl")
# include("solvers/learning_test.jl") include("solvers/learning_test.jl")
# include("instance/file_test.jl") include("instance/file_test.jl")
# include("utils/benchmark_test.jl") include("utils/benchmark_test.jl")
end end

10
test/solvers/learning_test.jl
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@@ -2,14 +2,14 @@
# Copyright (C) 2020-2021, UChicago Argonne, LLC. All rights reserved. # Copyright (C) 2020-2021, UChicago Argonne, LLC. All rights reserved.
# Released under the modified BSD license. See COPYING.md for more details. # Released under the modified BSD license. See COPYING.md for more details.
using Cbc
using JuMP using JuMP
using MIPLearn using MIPLearn
using Gurobi
@testset "LearningSolver" begin @testset "LearningSolver" begin
@testset "Model with annotations" begin @testset "Model with annotations" begin
model = build_knapsack_model() model = build_knapsack_model()
solver = LearningSolver(Gurobi.Optimizer) solver = LearningSolver(Cbc.Optimizer)
instance = JuMPInstance(model) instance = JuMPInstance(model)
stats = solve!(solver, instance) stats = solve!(solver, instance)
@test stats["mip_lower_bound"] == 11.0 @test stats["mip_lower_bound"] == 11.0
@@ -20,14 +20,14 @@ using Gurobi
@testset "Model without annotations" begin @testset "Model without annotations" begin
model = build_knapsack_model() model = build_knapsack_model()
solver = LearningSolver(Gurobi.Optimizer) solver = LearningSolver(Cbc.Optimizer)
instance = JuMPInstance(model) instance = JuMPInstance(model)
stats = solve!(solver, instance) stats = solve!(solver, instance)
@test stats["mip_lower_bound"] == 11.0 @test stats["mip_lower_bound"] == 11.0
end end
@testset "Save and load" begin @testset "Save and load" begin
solver = LearningSolver(Gurobi.Optimizer) solver = LearningSolver(Cbc.Optimizer)
solver.py.components = "Placeholder" solver.py.components = "Placeholder"
filename = tempname() filename = tempname()
save(filename, solver) save(filename, solver)
@@ -38,7 +38,7 @@ using Gurobi
@testset "Discard output" begin @testset "Discard output" begin
instance = build_knapsack_file_instance() instance = build_knapsack_file_instance()
solver = LearningSolver(Gurobi.Optimizer) solver = LearningSolver(Cbc.Optimizer)
solve!(solver, instance, discard_output=true) solve!(solver, instance, discard_output=true)
loaded = load_instance(instance.filename) loaded = load_instance(instance.filename)
@test length(loaded.py.samples) == 0 @test length(loaded.py.samples) == 0

12
test/utils/benchmark_test.jl
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@@ -2,19 +2,19 @@
# Copyright (C) 2020-2021, UChicago Argonne, LLC. All rights reserved. # Copyright (C) 2020-2021, UChicago Argonne, LLC. All rights reserved.
# Released under the modified BSD license. See COPYING.md for more details. # Released under the modified BSD license. See COPYING.md for more details.
using Cbc
using CSV using CSV
using DataFrames using DataFrames
using Gurobi
@testset "BenchmarkRunner" begin @testset "BenchmarkRunner" begin
# Initialie instances and generate training data # Initialize instances and generate training data
instances = [ instances = [
build_knapsack_file_instance(), build_knapsack_file_instance(),
build_knapsack_file_instance(), build_knapsack_file_instance(),
] ]
parallel_solve!( parallel_solve!(
LearningSolver(Gurobi.Optimizer), LearningSolver(Cbc.Optimizer),
instances, instances,
) )
@@ -22,14 +22,14 @@ using Gurobi
benchmark = BenchmarkRunner( benchmark = BenchmarkRunner(
solvers=Dict( solvers=Dict(
"baseline" => LearningSolver( "baseline" => LearningSolver(
Gurobi.Optimizer, Cbc.Optimizer,
components=[], components=[],
), ),
"ml-exact" => LearningSolver( "ml-exact" => LearningSolver(
Gurobi.Optimizer, Cbc.Optimizer,
), ),
"ml-heur" => LearningSolver( "ml-heur" => LearningSolver(
Gurobi.Optimizer, Cbc.Optimizer,
mode="heuristic", mode="heuristic",
), ),
), ),