83 lines
2.7 KiB
Python
83 lines
2.7 KiB
Python
#!/usr/bin/env python3
|
|
# Copyright 2010-2025 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.
|
|
|
|
"""Testing correctness of the code snippets in the comments of model.py."""
|
|
from collections.abc import Sequence
|
|
import datetime
|
|
|
|
from absl import app
|
|
from absl import flags
|
|
|
|
from ortools.math_opt.python import mathopt
|
|
from ortools.math_opt.python.ipc import remote_solve
|
|
from ortools.math_opt.python.ipc import solve_service_stubby_client
|
|
|
|
_SOLVER = flags.DEFINE_enum_class(
|
|
"solver", mathopt.SolverType.GSCIP, mathopt.SolverType, "The solver to use."
|
|
)
|
|
_INTEGER = flags.DEFINE_bool(
|
|
"integer", False, "If the variable should be integer or continuous."
|
|
)
|
|
|
|
_LOGS = flags.DEFINE_bool("logs", True, "Prints solver logs.")
|
|
_MODE = flags.DEFINE_enum_class(
|
|
"mode",
|
|
remote_solve.RemoteSolveMode.DEFAULT,
|
|
remote_solve.RemoteSolveMode,
|
|
"The mode to use with remote_solve().",
|
|
)
|
|
|
|
|
|
def main(argv: Sequence[str]) -> None:
|
|
del argv # Unused.
|
|
|
|
model = mathopt.Model(name="my_model")
|
|
x = model.add_variable(lb=0.0, ub=1.0, is_integer=_INTEGER.value, name="x")
|
|
y = model.add_variable(lb=0.0, ub=1.0, is_integer=_INTEGER.value, name="y")
|
|
model.add_linear_constraint(x + y <= 1.0, name="c")
|
|
model.maximize(2 * x + 3 * y)
|
|
|
|
stub = None
|
|
if _MODE.value in (
|
|
remote_solve.RemoteSolveMode.DEFAULT,
|
|
remote_solve.RemoteSolveMode.STREAMING,
|
|
):
|
|
stub = solve_service_stubby_client.solve_server_stub()
|
|
|
|
msg_cb = None
|
|
if _LOGS.value:
|
|
msg_cb = mathopt.printer_message_callback(prefix="Solver log: ")
|
|
# Raises exceptions on invalid input, internal solver error, rpc timeout etc.
|
|
result = remote_solve.remote_solve(
|
|
stub,
|
|
model,
|
|
_SOLVER.value,
|
|
deadline=datetime.timedelta(minutes=1),
|
|
mode=_MODE.value,
|
|
msg_cb=msg_cb,
|
|
)
|
|
|
|
if result.termination.reason not in (
|
|
mathopt.TerminationReason.OPTIMAL,
|
|
mathopt.TerminationReason.FEASIBLE,
|
|
):
|
|
raise RuntimeError(f"model failed to solve: {result.termination}")
|
|
|
|
print(f"Objective value: {result.objective_value()}")
|
|
print(f"Value for variable x: {result.variable_values()[x]}")
|
|
|
|
|
|
if __name__ == "__main__":
|
|
app.run(main)
|