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Merged
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Aug 24, 2021
Merged

[Test] Add more tests from Gurobi.jl #1552

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9084448
[Test] Add more tests from Gurobi.jl
odow Aug 24, 2021
0646158
Update test_solve.jl
odow Aug 24, 2021
ab2633f
Update test_solve.jl
odow Aug 24, 2021
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39 changes: 39 additions & 0 deletions src/Test/test_objective.jl
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Original file line number Diff line number Diff line change
Expand Up @@ -45,6 +45,45 @@ function test_objective_ObjectiveSense_FEASIBILITY_SENSE(
@test MOI.get(model, MOI.ObjectiveSense()) == MOI.FEASIBILITY_SENSE
end

"""
test_objective_FEASIBILITY_SENSE_clears_objective(
model::MOI.ModelLike,
config::Config,
)

Test setting objective sense to FEASIBILITY_SENSE clears previous objective.
"""
function test_objective_FEASIBILITY_SENSE_clears_objective(
model::MOI.ModelLike,
config::Config,
)
@requires _supports(config, MOI.optimize!)
x = MOI.add_variable(model)
MOI.add_constraint(model, MOI.SingleVariable(x), MOI.GreaterThan(1.0))
MOI.set(model, MOI.ObjectiveSense(), MOI.MIN_SENSE)
f = MOI.ScalarAffineFunction([MOI.ScalarAffineTerm(1.0, x)], 0.0)
MOI.set(model, MOI.ObjectiveFunction{typeof(f)}(), f)
MOI.optimize!(model)
@test MOI.get(model, MOI.ObjectiveValue()) == 1.0
MOI.set(model, MOI.ObjectiveSense(), MOI.FEASIBILITY_SENSE)
MOI.optimize!(model)
@test MOI.get(model, MOI.ObjectiveValue()) == 0.0
return
end

function setup_test(
::typeof(test_objective_FEASIBILITY_SENSE_clears_objective),
model::MOIU.MockOptimizer,
::Config,
)
MOIU.set_mock_optimize!(
model,
(mock::MOIU.MockOptimizer) ->
MOIU.mock_optimize!(mock, MOI.OPTIMAL, (MOI.FEASIBLE_POINT, [1])),
)
return
end

"""
test_objective_get_ObjectiveFunction_ScalarAffineFunction(
model::MOI.ModelLike,
Expand Down
117 changes: 117 additions & 0 deletions src/Test/test_solve.jl
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Expand Up @@ -1446,3 +1446,120 @@ function setup_test(
)
return
end

function test_solve_SOS2_add_and_delete(model::MOI.ModelLike, config::Config)
@requires _supports(config, MOI.optimize!)
@requires MOI.supports_constraint(
model,
MOI.VectorOfVariables,
MOI.SOS2{Float64},
)
function add_SOS2(x, y, xp, yp)
λ = MOI.add_variables(model, length(xp))
# 0 <= λ <= 1
MOI.add_constraint.(model, MOI.SingleVariable.(λ), MOI.LessThan(1.0))
MOI.add_constraint.(model, MOI.SingleVariable.(λ), MOI.GreaterThan(0.0))
# Σλᵢ == 1
MOI.add_constraint(
model,
MOI.ScalarAffineFunction(MOI.ScalarAffineTerm.(1.0, λ), 0.0),
MOI.EqualTo(1.0),
)
# Σλᵢxᵢ - x == 0
MOI.add_constraint(
model,
MOI.ScalarAffineFunction(
MOI.ScalarAffineTerm.([xp; -1.0], [λ; x]),
0.0,
),
MOI.EqualTo(0.0),
)
# Σλᵢyᵢ - y == 0
MOI.add_constraint(
model,
MOI.ScalarAffineFunction(
MOI.ScalarAffineTerm.([yp; -1.0], [λ; y]),
0.0,
),
MOI.EqualTo(0.0),
)
# λ ∈ SOS2()
c = MOI.add_constraint(
model,
MOI.VectorOfVariables(λ),
MOI.SOS2{Float64}(collect(1.0:length(xp))),
)
return λ, c
end
x = MOI.add_variables(model, 2)
y = MOI.add_variables(model, 2)
λ, c1 = add_SOS2(x[1], y[1], [1.0, 2.0, 3.0], [2.0, 2.0, 1.0])
MOI.add_constraint(model, MOI.SingleVariable(x[1]), MOI.LessThan(2.5))
η, c2 = add_SOS2(x[2], y[2], [1.0, 2.0, 3.0, 4.0], [0.5, 1.0, 0.2, 2.0])
MOI.set(model, MOI.ObjectiveSense(), MOI.MIN_SENSE)
f = MOI.ScalarAffineFunction(MOI.ScalarAffineTerm.(1.0, y), 0.0)
MOI.set(model, MOI.ObjectiveFunction{typeof(f)}(), f)
attr = MOI.NumberOfConstraints{MOI.VectorOfVariables,MOI.SOS2{Float64}}()
@test MOI.get(model, attr) == 2
MOI.optimize!(model)
# x[1] == 2.5
# y[1] == 1.5
# x[2] == 3.0
# y[2] == 0.2
@test isapprox(MOI.get(model, MOI.VariablePrimal(), x[1]), 2.5, config)
@test isapprox(MOI.get(model, MOI.VariablePrimal(), x[2]), 3.0, config)
@test isapprox(MOI.get(model, MOI.VariablePrimal(), y[1]), 1.5, config)
@test isapprox(MOI.get(model, MOI.VariablePrimal(), y[2]), 0.2, config)
@test isapprox(MOI.get(model, MOI.ObjectiveValue()), 1.7, config)
MOI.delete(model, c1)
MOI.delete(model, c2)
@test MOI.get(model, attr) == 0
MOI.optimize!(model)
@test isapprox(MOI.get(model, MOI.VariablePrimal(), x[1]), 2.5, config)
@test isapprox(MOI.get(model, MOI.VariablePrimal(), x[2]), 3.0, config)
@test isapprox(MOI.get(model, MOI.VariablePrimal(), y[1]), 1.25, config)
@test isapprox(MOI.get(model, MOI.VariablePrimal(), y[2]), 0.2, config)
@test isapprox(MOI.get(model, MOI.ObjectiveValue()), 1.45, config)
MOI.add_constraint(
model,
MOI.VectorOfVariables(λ),
MOI.SOS2{Float64}([1.0, 2.0, 3.0]),
)
MOI.add_constraint(
model,
MOI.VectorOfVariables(λ),
MOI.SOS2{Float64}([1.0, 2.0, 3.0, 4.0]),
)
@test MOI.get(model, attr) == 2
MOI.optimize!(model)
@test isapprox(MOI.get(model, MOI.VariablePrimal(), x[1]), 2.5, config)
@test isapprox(MOI.get(model, MOI.VariablePrimal(), x[2]), 3.0, config)
@test isapprox(MOI.get(model, MOI.ObjectiveValue()), 1.7, config)
return
end

function setup_test(
::typeof(test_solve_SOS2_add_and_delete),
model::MOIU.MockOptimizer,
::Config,
)
MOIU.set_mock_optimize!(
model,
(mock::MOIU.MockOptimizer) -> MOIU.mock_optimize!(
mock,
MOI.OPTIMAL,
[2.5, 3.0, 1.5, 0.2, 0.0, 0.5, 0.5, 0.0, 0.0, 1.0, 0.0],
),
(mock::MOIU.MockOptimizer) -> MOIU.mock_optimize!(
mock,
MOI.OPTIMAL,
[2.5, 3.0, 1.25, 0.2, 0.25, 0.0, 0.75, 0.0, 0.0, 1.0, 0.0],
),
(mock::MOIU.MockOptimizer) -> MOIU.mock_optimize!(
mock,
MOI.OPTIMAL,
[2.5, 3.0, 1.5, 0.2, 0.0, 0.5, 0.5, 0.0, 0.0, 1.0, 0.0],
),
)
return
end