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ortools-clone/ortools/linear_solver/samples/simple_lp_program.py

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Python

# Copyright 2010-2017 Google
# 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 example to call the GLOP solver."""
# [START program]
from __future__ import print_function
from ortools.linear_solver import pywraplp
def main():
# Create the linear solver with the GLOP backend.
solver = pywraplp.Solver('simple_lp_program',
pywraplp.Solver.GLOP_LINEAR_PROGRAMMING)
# Create the variables x and y.
x = solver.NumVar(0, 1, 'x')
y = solver.NumVar(0, 2, 'y')
# Create a linear constraint.
ct = solver.Constraint(0, 2, 'ct')
ct.SetCoefficient(x, 1)
ct.SetCoefficient(y, 1)
# Create the objective function, x + y.
objective = solver.Objective()
objective.SetCoefficient(x, 3)
objective.SetCoefficient(y, 1)
objective.SetMaximization()
# Call the solver and display the results.
solver.Solve()
print('Solution:')
print('Objective value = ', objective.Value())
print('x = ', x.solution_value())
print('y = ', y.solution_value())
if __name__ == '__main__':
main()
# [END program]