129 lines
4.8 KiB
Python
129 lines
4.8 KiB
Python
#!/usr/bin/env python3
|
|
# Copyright 2010-2024 Google LLC
|
|
# Licensed under the Apache License, Version 2.0 (the "License");
|
|
# you may not use this file except in compliance with the License.
|
|
# You may obtain a copy of the License at
|
|
#
|
|
# http://www.apache.org/licenses/LICENSE-2.0
|
|
#
|
|
# Unless required by applicable law or agreed to in writing, software
|
|
# distributed under the License is distributed on an "AS IS" BASIS,
|
|
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
|
# See the License for the specific language governing permissions and
|
|
# limitations under the License.
|
|
|
|
"""Test normalize for mathopt protos."""
|
|
|
|
from google3.net.proto2.contrib.pyutil import compare
|
|
from absl.testing import absltest
|
|
from ortools.math_opt import model_parameters_pb2
|
|
from ortools.math_opt import model_pb2
|
|
from ortools.math_opt import model_update_pb2
|
|
from ortools.math_opt import parameters_pb2
|
|
from ortools.math_opt import result_pb2
|
|
from ortools.math_opt import sparse_containers_pb2
|
|
from ortools.math_opt.python import normalize
|
|
|
|
|
|
class MathOptProtoAssertionsTest(absltest.TestCase, compare.Proto2Assertions):
|
|
|
|
def test_removes_empty_message(self) -> None:
|
|
model_with_empty_vars = model_pb2.ModelProto()
|
|
model_with_empty_vars.variables.SetInParent()
|
|
with self.assertRaisesRegex(AssertionError, ".*variables.*"):
|
|
self.assertProto2Equal(model_with_empty_vars, model_pb2.ModelProto())
|
|
|
|
normalize.math_opt_normalize_proto(model_with_empty_vars)
|
|
self.assertProto2Equal(model_with_empty_vars, model_pb2.ModelProto())
|
|
|
|
def test_keeps_nonempty_message(self) -> None:
|
|
model_with_vars = model_pb2.ModelProto()
|
|
model_with_vars.variables.ids[:] = [1, 3]
|
|
|
|
expected = model_pb2.ModelProto()
|
|
expected.variables.ids[:] = [1, 3]
|
|
|
|
normalize.math_opt_normalize_proto(model_with_vars)
|
|
self.assertProto2Equal(model_with_vars, expected)
|
|
|
|
def test_keeps_optional_scalar_at_default_message(self) -> None:
|
|
objective = model_update_pb2.ObjectiveUpdatesProto(offset_update=0.0)
|
|
|
|
normalize.math_opt_normalize_proto(objective)
|
|
|
|
wrong = model_update_pb2.ObjectiveUpdatesProto()
|
|
with self.assertRaisesRegex(AssertionError, ".*offset_update.*"):
|
|
self.assertProto2Equal(objective, wrong)
|
|
|
|
expected = model_update_pb2.ObjectiveUpdatesProto(offset_update=0.0)
|
|
self.assertProto2Equal(objective, expected)
|
|
|
|
def test_recursive_cleanup(self) -> None:
|
|
update_rec_empty = model_update_pb2.ModelUpdateProto()
|
|
update_rec_empty.variable_updates.lower_bounds.SetInParent()
|
|
|
|
normalize.math_opt_normalize_proto(update_rec_empty)
|
|
self.assertProto2Equal(update_rec_empty, model_update_pb2.ModelUpdateProto())
|
|
|
|
def test_duration_no_cleanup(self) -> None:
|
|
params = parameters_pb2.SolveParametersProto()
|
|
params.time_limit.SetInParent()
|
|
|
|
with self.assertRaisesRegex(AssertionError, ".*time_limit.*"):
|
|
normalize.math_opt_normalize_proto(params)
|
|
self.assertProto2Equal(params, parameters_pb2.SolveParametersProto())
|
|
|
|
def test_repeated_scalar_no_cleanup(self) -> None:
|
|
vec = sparse_containers_pb2.SparseDoubleVectorProto()
|
|
vec.ids[:] = [0, 0]
|
|
normalize.math_opt_normalize_proto(vec)
|
|
|
|
expected = sparse_containers_pb2.SparseDoubleVectorProto()
|
|
expected.ids[:] = [0, 0]
|
|
|
|
self.assertProto2Equal(vec, expected)
|
|
|
|
def test_reaches_into_map(self) -> None:
|
|
model = model_pb2.ModelProto()
|
|
model.quadratic_constraints[2].linear_terms.SetInParent()
|
|
normalize.math_opt_normalize_proto(model)
|
|
|
|
expected = model_pb2.ModelProto()
|
|
expected.quadratic_constraints[2] # pylint: disable=pointless-statement
|
|
|
|
self.assertProto2Equal(model, expected)
|
|
|
|
def test_reaches_into_vector(self) -> None:
|
|
params = model_parameters_pb2.ModelSolveParametersProto()
|
|
params.solution_hints.add().variable_values.SetInParent()
|
|
normalize.math_opt_normalize_proto(params)
|
|
|
|
expected = model_parameters_pb2.ModelSolveParametersProto()
|
|
expected.solution_hints.add()
|
|
|
|
self.assertProto2Equal(params, expected)
|
|
|
|
def test_oneof_is_not_cleared(self) -> None:
|
|
result = result_pb2.SolveResultProto()
|
|
result.gscip_output.SetInParent()
|
|
normalize.math_opt_normalize_proto(result)
|
|
|
|
expected = result_pb2.SolveResultProto()
|
|
expected.gscip_output.SetInParent()
|
|
|
|
self.assertProto2Equal(result, expected)
|
|
|
|
def test_reaches_into_oneof(self) -> None:
|
|
result = result_pb2.SolveResultProto()
|
|
result.gscip_output.stats.SetInParent()
|
|
normalize.math_opt_normalize_proto(result)
|
|
|
|
expected = result_pb2.SolveResultProto()
|
|
expected.gscip_output.SetInParent()
|
|
|
|
self.assertProto2Equal(result, expected)
|
|
|
|
|
|
if __name__ == "__main__":
|
|
absltest.main()
|