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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -1,131 +1,89 @@ | ||
| using MathOptInterface | ||
| const MOI = MathOptInterface | ||
| const MOIT = MOI.DeprecatedTest | ||
| const MOIU = MOI.Utilities | ||
| const MOIB = MOI.Bridges | ||
| module TestMOIWrapper | ||
|
|
||
| const config = MOIT.Config(atol=1e-4, rtol=1e-4, | ||
| optimal_status=MOI.LOCALLY_SOLVED) | ||
| const config_no_duals = MOIT.Config(atol=1e-4, rtol=1e-4, duals=false, | ||
| optimal_status=MOI.LOCALLY_SOLVED) | ||
| using MadNLP | ||
| using Test | ||
|
|
||
| @testset "MOI utils" begin | ||
| optimizer = MadNLP.Optimizer() | ||
| @testset "SolverName" begin | ||
| @test MOI.get(optimizer, MOI.SolverName()) == "MadNLP" | ||
| end | ||
| @testset "supports_default_copy_to" begin | ||
| @test MOI.supports_incremental_interface(optimizer) | ||
| end | ||
| @testset "MOI.Silent" begin | ||
| @test MOI.supports(optimizer, MOI.Silent()) | ||
| @test MOI.get(optimizer, MOI.Silent()) == false | ||
| MOI.set(optimizer, MOI.Silent(), true) | ||
| @test MOI.get(optimizer, MOI.Silent()) == true | ||
| end | ||
| @testset "MOI.TimeLimitSec" begin | ||
| @test MOI.supports(optimizer, MOI.TimeLimitSec()) | ||
| my_time_limit = 10. | ||
| MOI.set(optimizer, MOI.TimeLimitSec(), my_time_limit) | ||
| @test MOI.get(optimizer, MOI.TimeLimitSec()) == my_time_limit | ||
| end | ||
| @testset "MOI.MaxIter" begin | ||
| MOI.set(optimizer,MOI.RawOptimizerAttribute("max_iter"),1) | ||
| @test MOI.get(optimizer,MOI.RawOptimizerAttribute("max_iter")) == 1 | ||
| const MOI = MadNLP.MathOptInterface | ||
|
|
||
| function runtests() | ||
| for name in names(@__MODULE__; all = true) | ||
| if startswith("$(name)", "test_") | ||
| @testset "$(name)" begin | ||
| getfield(@__MODULE__, name)() | ||
| end | ||
| end | ||
| end | ||
| return | ||
| end | ||
|
|
||
| # Currently broken on MOI 0.10 | ||
| # See: https://github.com/jump-dev/MathOptInterface.jl/pull/1591 | ||
| # @testset "Testing getters" begin | ||
| # MOIT.copytest(MOI.instantiate(()->MadNLP.Optimizer(print_level=MadNLP.ERROR), | ||
| # with_bridge_type=Float64), MOIU.Model{Float64}()) | ||
| # end | ||
| function test_MOI_Test() | ||
| model = MOI.Bridges.full_bridge_optimizer( | ||
| MOI.Utilities.CachingOptimizer( | ||
| MOI.Utilities.UniversalFallback(MOI.Utilities.Model{Float64}()), | ||
| MadNLP.Optimizer(), | ||
| ), | ||
| Float64, | ||
| ) | ||
| MOI.set(model, MOI.Silent(), true) | ||
| MOI.Test.runtests( | ||
| model, | ||
| MOI.Test.Config( | ||
| atol = 1e-4, | ||
| rtol = 1e-4, | ||
| optimal_status = MOI.LOCALLY_SOLVED, | ||
| exclude = Any[ | ||
| MOI.delete, | ||
| MOI.ConstraintDual, | ||
| MOI.ConstraintBasisStatus, | ||
| MOI.DualObjectiveValue, | ||
| MOI.ObjectiveBound, | ||
| ] | ||
| ); | ||
| exclude = String[ | ||
| # - Need to implement TimeLimitSec | ||
| "test_attribute_TimeLimitSec", | ||
| # - Wrong return type | ||
| "test_model_UpperBoundAlreadySet", | ||
| # - Final objective value is not equal to 0.0 | ||
| "test_objective_FEASIBILITY_SENSE_clears_objective", | ||
|
|
||
| @testset "Bounds set twice" begin | ||
| optimizer = MadNLP.Optimizer(print_level=MadNLP.ERROR) | ||
| MOIT.set_lower_bound_twice(optimizer, Float64) | ||
| MOIT.set_upper_bound_twice(optimizer, Float64) | ||
| end | ||
| # TODO: Need to investigate why these tests are breaking | ||
| # get(model, MOI.ConstraintPrimal(), c) returns the | ||
| # opposite value: if 1.0 is expected, -1.0 is returned | ||
| "test_constraint_ScalarAffineFunction_EqualTo", | ||
| "test_quadratic_nonconvex_constraint_basic", | ||
| "test_linear_integration", | ||
|
|
||
| @testset "MOI Linear tests" begin | ||
| optimizer = MadNLP.Optimizer(print_level=MadNLP.ERROR) | ||
| exclude = ["linear1", # modify constraints not allowed | ||
| "linear5", # modify constraints not allowed | ||
| "linear6", # constraint set for l/q not allowed | ||
| "linear7", # VectorAffineFunction not supported. | ||
| "linear8a", # Behavior in infeasible case doesn't match test. | ||
| "linear8b", # Behavior in unbounded case doesn't match test. | ||
| "linear8c", # Behavior in unbounded case doesn't match test. | ||
| "linear10", # Interval not supported yet | ||
| "linear10b", # Interval not supported yet | ||
| "linear11", # Variable cannot be deleted | ||
| "linear12", # Behavior in infeasible case doesn't match test. | ||
| "linear14", # Variable cannot be deleted | ||
| "linear15", # VectorAffineFunction not supported. | ||
| ] | ||
| MOIT.contlineartest(optimizer, config_no_duals,exclude) | ||
| end | ||
| # TODO: there might be an issue with VectorAffineFunction/VectorOfVariables | ||
| "test_conic_NormOneCone_VectorOfVariables", | ||
| "test_conic_NormOneCone_VectorAffineFunction", | ||
| "test_conic_NormInfinityCone_VectorOfVariables", | ||
| "test_conic_NormInfinityCone_VectorAffineFunction", | ||
| "test_conic_linear_VectorAffineFunction", | ||
| "test_conic_linear_VectorAffineFunction_2", | ||
| "test_conic_linear_VectorOfVariables", | ||
| "test_conic_linear_VectorOfVariables_2", | ||
|
|
||
| @testset "MOI NLP tests" begin | ||
| optimizer = MadNLP.Optimizer(print_level=MadNLP.ERROR) | ||
| exclude = [ | ||
| "feasibility_sense_with_objective_and_no_hessian", # we need Hessians | ||
| "feasibility_sense_with_no_objective_and_no_hessian", # we need Hessians | ||
| "hs071_no_hessian", # we need Hessians | ||
| "hs071_hessian_vector_product_test", # Hessian-vector product is needed | ||
| ] | ||
| MOIT.nlptest(optimizer,config,exclude) | ||
| end | ||
| # Tests excluded on purpose | ||
| # - Excluded as MadNLP returns LOCALLY_INFEASIBLE instead of INFEASIBLE | ||
| "INFEASIBLE", | ||
| "test_solve_DualStatus_INFEASIBILITY_CERTIFICATE_", | ||
| # - Excluded because Hessian information is needed | ||
| "test_nonlinear_hs071_hessian_vector_product", | ||
| # - Excluded because Hessian information is needed | ||
| "test_nonlinear_hs071_no_hessian", | ||
| # - Excluded because Hessian information is needed | ||
| "test_nonlinear_invalid", | ||
|
|
||
| @testset "Unit" begin | ||
| bridged = MOIB.full_bridge_optimizer(MadNLP.Optimizer(print_level=MadNLP.ERROR),Float64) | ||
| exclude = ["delete_variable", # Deleting not supported. | ||
| "delete_variables", # Deleting not supported. | ||
| "getvariable", # Variable names not supported. | ||
| "solve_zero_one_with_bounds_1", # Variable names not supported. | ||
| "solve_zero_one_with_bounds_2", # Variable names not supported. | ||
| "solve_zero_one_with_bounds_3", # Variable names not supported. | ||
| "getconstraint", # Constraint names not suported. | ||
| "variablenames", # Variable names not supported. | ||
| "solve_with_upperbound", # loadfromstring! | ||
| "solve_with_lowerbound", # loadfromstring! | ||
| "solve_integer_edge_cases", # loadfromstring! | ||
| "solve_affine_lessthan", # loadfromstring! | ||
| "solve_affine_greaterthan", # loadfromstring! | ||
| "solve_affine_equalto", # loadfromstring! | ||
| "solve_affine_interval", # loadfromstring! | ||
| "get_objective_function", # Function getters not supported. | ||
| "solve_constant_obj", # loadfromstring! | ||
| "solve_blank_obj", # loadfromstring! | ||
| "solve_singlevariable_obj", # loadfromstring! | ||
| "solve_objbound_edge_cases", # ObjectiveBound not supported. | ||
| "solve_affine_deletion_edge_cases", # Deleting not supported. | ||
| "solve_unbounded_model", # `NORM_LIMIT` | ||
| "number_threads", # NumberOfThreads not supported | ||
| "delete_nonnegative_variables", # get ConstraintFunction n/a. | ||
| "update_dimension_nonnegative_variables", # get ConstraintFunction n/a. | ||
| "delete_soc_variables", # VectorOfVar. in SOC not supported | ||
| "solve_result_index", # DualObjectiveValue not supported | ||
| "time_limit_sec", #time limit given as Flaot64? | ||
| "solve_farkas_interval_lower", | ||
| "solve_farkas_lessthan", | ||
| "solve_farkas_interval_upper", | ||
| "solve_farkas_greaterthan", | ||
| "solve_farkas_variable_lessthan_max", | ||
| "solve_farkas_variable_lessthan", | ||
| "solve_farkas_equalto_lower", | ||
| "solve_farkas_equalto_upper", | ||
| "solve_qp_edge_cases" | ||
| ] | ||
| MOIT.unittest(bridged, config, exclude) | ||
| # - Excluded because this test is optional | ||
| "test_model_ScalarFunctionConstantNotZero", | ||
| # - Excluded because MadNLP returns INVALID_MODEL instead of LOCALLY_SOLVED | ||
| "test_linear_VectorAffineFunction_empty_row", | ||
| ] | ||
| ) | ||
| return | ||
| end | ||
|
|
||
| @testset "MOI QP/QCQP tests" begin | ||
| optimizer = MadNLP.Optimizer(print_level=MadNLP.ERROR) | ||
| qp_optimizer = MOIU.CachingOptimizer(MOIU.Model{Float64}(), optimizer) | ||
| MOIT.qptest(qp_optimizer, config) | ||
| exclude = ["qcp1", # VectorAffineFunction not supported. | ||
| ] | ||
| MOIT.qcptest(qp_optimizer, config_no_duals, exclude) | ||
| end | ||
|
|
||
| TestMOIWrapper.runtests() |
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