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ortools-clone/ortools/algorithms/samples/simple_knapsack_program.py
Corentin Le Molgat ffe1a9caa5 Fix indent
2023-07-13 18:56:39 +02:00

61 lines
1.7 KiB
Python

#!/usr/bin/env python3
# Copyright 2010-2022 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.
# [START program]
"""A simple knapsack problem."""
# [START import]
from ortools.algorithms.python import knapsack_solver
# [END import]
def main():
# Create the solver.
# [START solver]
solver = knapsack_solver.KnapsackSolver(
knapsack_solver.SolverType.KNAPSACK_DYNAMIC_PROGRAMMING_SOLVER,
"test",
)
# [END solver]
# [START data]
weights = [
# fmt:off
[565, 406, 194, 130, 435, 367, 230, 315, 393, 125, 670, 892, 600, 293, 712, 147, 421, 255],
# fmt:on
]
capacities = [850]
values = weights[0]
# [END data]
# [START solve]
solver.init(values, weights, capacities)
computed_value = solver.solve()
# [END solve]
# [START print_solution]
packed_items = [
x for x in range(0, len(weights[0])) if solver.best_solution_contains(x)
]
packed_weights = [weights[0][i] for i in packed_items]
print("Packed items: ", packed_items)
print("Packed weights: ", packed_weights)
print("Total weight (same as total value): ", computed_value)
# [END print_solution]
if __name__ == "__main__":
main()
# [END program]