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[Test] updates to Test/test_nonlinear.jl #1439

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Merged
odow merged 1 commit into from
Jul 5, 2021
Merged

[Test] updates to Test/test_nonlinear.jl #1439

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74 changes: 35 additions & 39 deletions src/Test/test_nonlinear.jl
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Original file line number Diff line number Diff line change
Expand Up @@ -270,6 +270,7 @@ end

function _test_HS071(model::MOI.ModelLike, config::Config, evaluator::HS071)
@requires MOI.supports(model, MOI.NLPBlock())
@requires _supports(config, MOI.optimize!)
@requires MOI.supports_constraint(
model,
MOI.SingleVariable,
Expand Down Expand Up @@ -308,23 +309,21 @@ function _test_HS071(model::MOI.ModelLike, config::Config, evaluator::HS071)
end
MOI.set(model, MOI.NLPBlock(), block_data)
MOI.set(model, MOI.ObjectiveSense(), MOI.MIN_SENSE)
if _supports(config, MOI.optimize!)
MOI.optimize!(model)
@test MOI.get(model, MOI.TerminationStatus()) == config.optimal_status
@test MOI.get(model, MOI.ResultCount()) >= 1
@test MOI.get(model, MOI.PrimalStatus()) == MOI.FEASIBLE_POINT
@test isapprox(
MOI.get(model, MOI.ObjectiveValue()),
17.014017145179164,
config,
)
@test isapprox(
MOI.get(model, MOI.VariablePrimal(), v),
[1.0, 4.7429996418092970, 3.8211499817883077, 1.3794082897556983],
config,
)
# TODO: Duals? Maybe better to test on a convex instance.
end
MOI.optimize!(model)
@test MOI.get(model, MOI.TerminationStatus()) == config.optimal_status
@test MOI.get(model, MOI.ResultCount()) >= 1
@test MOI.get(model, MOI.PrimalStatus()) == MOI.FEASIBLE_POINT
@test isapprox(
MOI.get(model, MOI.ObjectiveValue()),
17.014017145179164,
config,
)
@test isapprox(
MOI.get(model, MOI.VariablePrimal(), v),
[1.0, 4.7429996418092970, 3.8211499817883077, 1.3794082897556983],
config,
)
# TODO: Duals? Maybe better to test on a convex instance.
return
end

Expand Down Expand Up @@ -455,6 +454,7 @@ function test_nonlinear_objective_and_moi_objective_test(
config::Config,
)
@requires MOI.supports(model, MOI.NLPBlock())
@requires _supports(config, MOI.optimize!)
@requires MOI.supports(model, MOI.VariablePrimalStart(), MOI.VariableIndex)
lb = [1.0]
ub = [2.0]
Expand All @@ -472,15 +472,13 @@ function test_nonlinear_objective_and_moi_objective_test(
f_x = MOI.ScalarAffineFunction([MOI.ScalarAffineTerm(1.0, x)], 0.0)
# This objective function should be ignored.
MOI.set(model, MOI.ObjectiveFunction{typeof(f_x)}(), f_x)
if _supports(config, MOI.optimize!)
MOI.optimize!(model)
@test MOI.get(model, MOI.TerminationStatus()) == config.optimal_status
@test MOI.get(model, MOI.ResultCount()) >= 1
@test MOI.get(model, MOI.PrimalStatus()) == MOI.FEASIBLE_POINT
@test isapprox(MOI.get(model, MOI.ObjectiveValue()), 0.0, config)
xv = MOI.get(model, MOI.VariablePrimal(), x)
@test isapprox(abs(xv), 1.0, config)
end
MOI.optimize!(model)
@test MOI.get(model, MOI.TerminationStatus()) == config.optimal_status
@test MOI.get(model, MOI.ResultCount()) >= 1
@test MOI.get(model, MOI.PrimalStatus()) == MOI.FEASIBLE_POINT
@test isapprox(MOI.get(model, MOI.ObjectiveValue()), 0.0, config)
xv = MOI.get(model, MOI.VariablePrimal(), x)
@test isapprox(abs(xv), 1.0, config)
return
end

Expand Down Expand Up @@ -517,6 +515,7 @@ function test_nonlinear_mixed_complementarity(
MOI.VectorAffineFunction{Float64},
MOI.Complements,
)
@requires _supports(config, MOI.optimize!)
x = MOI.add_variables(model, 4)
MOI.add_constraint.(model, MOI.SingleVariable.(x), MOI.Interval(0.0, 10.0))
MOI.set.(model, MOI.VariablePrimalStart(), x, 0.0)
Expand All @@ -542,12 +541,10 @@ function test_nonlinear_mixed_complementarity(
MOI.Complements(8),
)
@test MOI.get(model, MOI.TerminationStatus()) == MOI.OPTIMIZE_NOT_CALLED
if _supports(config, MOI.optimize!)
MOI.optimize!(model)
@test MOI.get(model, MOI.TerminationStatus()) == config.optimal_status
x_val = MOI.get.(model, MOI.VariablePrimal(), x)
@test isapprox(x_val, [2.8, 0.0, 0.8, 1.2], config)
end
MOI.optimize!(model)
@test MOI.get(model, MOI.TerminationStatus()) == config.optimal_status
x_val = MOI.get.(model, MOI.VariablePrimal(), x)
@test isapprox(x_val, [2.8, 0.0, 0.8, 1.2], config)
return
end

Expand Down Expand Up @@ -609,6 +606,7 @@ function test_nonlinear_qp_complementarity_constraint(
MOI.VectorOfVariables,
MOI.Complements,
)
@requires _supports(config, MOI.optimize!)
x = MOI.add_variables(model, 8)
MOI.set.(model, MOI.VariablePrimalStart(), x, 0.0)
MOI.add_constraint.(model, MOI.SingleVariable.(x), MOI.GreaterThan(0.0))
Expand Down Expand Up @@ -659,13 +657,11 @@ function test_nonlinear_qp_complementarity_constraint(
MOI.Complements(6),
)
@test MOI.get(model, MOI.TerminationStatus()) == MOI.OPTIMIZE_NOT_CALLED
if _supports(config, MOI.optimize!)
MOI.optimize!(model)
@test MOI.get(model, MOI.TerminationStatus()) == config.optimal_status
x_val = MOI.get.(model, MOI.VariablePrimal(), x)
@test isapprox(x_val, [1.0, 0.0, 3.5, 0.0, 0.0, 0.0, 3.0, 6.0], config)
@test isapprox(MOI.get(model, MOI.ObjectiveValue()), 17.0, config)
end
MOI.optimize!(model)
@test MOI.get(model, MOI.TerminationStatus()) == config.optimal_status
x_val = MOI.get.(model, MOI.VariablePrimal(), x)
@test isapprox(x_val, [1.0, 0.0, 3.5, 0.0, 0.0, 0.0, 3.0, 6.0], config)
@test isapprox(MOI.get(model, MOI.ObjectiveValue()), 17.0, config)
return
end

Expand Down