-
Notifications
You must be signed in to change notification settings - Fork 2.2k
/
Copy pathsolve_model.py
62 lines (47 loc) · 1.97 KB
/
solve_model.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
# 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.
"""Minimal solver python binary."""
from collections.abc import Sequence
from absl import app
from absl import flags
from ortools.linear_solver.python import model_builder
_INPUT = flags.DEFINE_string("input", "", "Input file to load and solve.")
_PARAMS = flags.DEFINE_string("params", "", "Solver parameters in string format.")
_SOLVER = flags.DEFINE_string("solver", "sat", "Solver type to solve the model with.")
def main(argv: Sequence[str]) -> None:
"""Load a model and solves it."""
if len(argv) > 1:
raise app.UsageError("Too many command-line arguments.")
model = model_builder.ModelBuilder()
# Load MPS or proto file.
if _INPUT.value.endswith(".mps"):
if not model.import_from_mps_file(_INPUT.value):
print(f"Cannot import MPS file: '{_INPUT.value}'")
return
elif not model.import_from_proto_file(_INPUT.value):
print(f"Cannot import Proto file: '{_INPUT.value}'")
return
# Create solver.
solver = model_builder.ModelSolver(_SOLVER.value)
if not solver.solver_is_supported():
print(f"Cannot create solver with name '{_SOLVER.value}'")
return
# Set parameters.
if _PARAMS.value:
solver.set_solver_specific_parameters(_PARAMS.value)
# Enable the output of the solver.
solver.enable_output(True)
# And solve.
solver.solve(model)
if __name__ == "__main__":
app.run(main)