Reorganize internal solver tests

This commit is contained in:
2021-04-09 20:33:48 -05:00
parent a8224b5a38
commit 626d75f25e
9 changed files with 191 additions and 244 deletions

View File

@@ -2,22 +2,24 @@
# Copyright (C) 2020-2021, UChicago Argonne, LLC. All rights reserved.
# Released under the modified BSD license. See COPYING.md for more details.
from miplearn.solvers.internal import InternalSolver
from miplearn.instance.base import Instance
from typing import Any
from miplearn.solvers.internal import InternalSolver
def assert_equals(left: Any, right: Any) -> None:
assert left == right, f"{left} != {right}"
# NOTE:
# This file is in the main source folder, so that it can be called from Julia.
def test_internal_solver(
solver: InternalSolver,
instance: Instance,
model: Any,
) -> None:
def run_internal_solver_tests(solver: InternalSolver) -> None:
run_basic_usage_tests(solver.clone())
run_warm_start_tests(solver.clone())
run_infeasibility_tests(solver.clone())
def run_basic_usage_tests(solver: InternalSolver) -> None:
instance = solver.build_test_instance_knapsack()
model = instance.to_model()
solver.set_instance(instance, model)
assert_equals(
solver.get_variable_names(),
["x[0]", "x[1]", "x[2]", "x[3]"],
@@ -64,18 +66,129 @@ def test_internal_solver(
assert_equals(solution["x[2]"], 1.0)
assert_equals(solution["x[3]"], 1.0)
assert_equals(solver.get_constraint_ids(), ["eq_capacity"])
assert_equals(
solver.get_constraint_rhs("eq_capacity"),
67.0,
)
assert_equals(
solver.get_constraint_lhs("eq_capacity"),
{
"x[0]": 23.0,
"x[1]": 26.0,
"x[2]": 20.0,
"x[3]": 18.0,
},
)
assert_equals(solver.get_constraint_sense("eq_capacity"), "<")
# assert_equals(solver.get_constraint_ids(), ["eq_capacity"])
# assert_equals(
# solver.get_constraint_rhs("eq_capacity"),
# 67.0,
# )
# assert_equals(
# solver.get_constraint_lhs("eq_capacity"),
# {
# "x[0]": 23.0,
# "x[1]": 26.0,
# "x[2]": 20.0,
# "x[3]": 18.0,
# },
# )
# assert_equals(solver.get_constraint_sense("eq_capacity"), "<")
# if isinstance(solver, BasePyomoSolver):
# model.cut = pe.Constraint(expr=model.x[0] <= 0.0, name="cut")
# solver.add_constraint(model.cut)
# elif isinstance(solver, GurobiSolver):
# x = model.getVarByName("x[0]")
# solver.add_constraint(x <= 0.0, name="cut")
# else:
# raise Exception("Illegal state")
# # Add a brand new constraint
cut = instance.build_lazy_constraint(model, "cut")
assert cut is not None
solver.add_constraint(cut, name="cut")
# New constraint should affect solution and should be listed in
# constraint ids
assert solver.get_constraint_ids() == ["eq_capacity", "cut"]
stats = solver.solve()
assert stats["Lower bound"] == 1030.0
assert solver.get_sense() == "max"
assert solver.get_constraint_sense("cut") == "<"
assert solver.get_constraint_sense("eq_capacity") == "<"
# Verify slacks
assert solver.get_inequality_slacks() == {
"cut": 0.0,
"eq_capacity": 3.0,
}
# # Extract the new constraint
# cobj = solver.extract_constraint("cut")
#
# # New constraint should no longer affect solution and should no longer
# # be listed in constraint ids
# assert solver.get_constraint_ids() == ["eq_capacity"]
# stats = solver.solve()
# assert stats["Lower bound"] == 1183.0
#
# # New constraint should not be satisfied by current solution
# assert not solver.is_constraint_satisfied(cobj)
#
# # Re-add constraint
# solver.add_constraint(cobj)
#
# # Constraint should affect solution again
# assert solver.get_constraint_ids() == ["eq_capacity", "cut"]
# stats = solver.solve()
# assert stats["Lower bound"] == 1030.0
#
# # New constraint should now be satisfied
# assert solver.is_constraint_satisfied(cobj)
#
# # Relax problem and make cut into an equality constraint
# solver.relax()
# solver.set_constraint_sense("cut", "=")
# stats = solver.solve()
# assert stats["Lower bound"] is not None
# assert round(stats["Lower bound"]) == 1030.0
# assert round(solver.get_dual("eq_capacity")) == 0.0
def run_warm_start_tests(solver: InternalSolver) -> None:
instance = solver.build_test_instance_knapsack()
model = instance.to_model()
solver.set_instance(instance, model)
solver.set_warm_start({"x[0]": 1.0, "x[1]": 0.0, "x[2]": 0.0, "x[3]": 1.0})
stats = solver.solve(tee=True)
if stats["Warm start value"] is not None:
assert_equals(stats["Warm start value"], 725.0)
solver.set_warm_start({"x[0]": 1.0, "x[1]": 1.0, "x[2]": 1.0, "x[3]": 1.0})
stats = solver.solve(tee=True)
assert stats["Warm start value"] is None
solver.fix({"x[0]": 1.0, "x[1]": 0.0, "x[2]": 0.0, "x[3]": 1.0})
stats = solver.solve(tee=True)
assert stats["Lower bound"] == 725.0
assert stats["Upper bound"] == 725.0
def run_infeasibility_tests(solver: InternalSolver) -> None:
instance = solver.build_test_instance_infeasible()
solver.set_instance(instance)
mip_stats = solver.solve()
assert solver.is_infeasible()
assert solver.get_solution() is None
assert mip_stats["Upper bound"] is None
assert mip_stats["Lower bound"] is None
lp_stats = solver.solve_lp()
assert solver.get_solution() is None
assert lp_stats["LP value"] is None
def run_iteration_cb_tests(solver: InternalSolver) -> None:
instance = solver.build_test_instance_knapsack()
solver.set_instance(instance)
count = 0
def custom_iteration_cb() -> bool:
nonlocal count
count += 1
return count < 5
solver.solve(iteration_cb=custom_iteration_cb)
assert count == 5
def assert_equals(left: Any, right: Any) -> None:
assert left == right, f"{left} != {right}"