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ortools-clone/ortools/linear_solver/python/lp_api_test.py
2022-09-22 13:54:16 +02:00

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Python
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#!/usr/bin/env python3
from google.protobuf import text_format
from ortools.linear_solver import pywraplp
from ortools.linear_solver import linear_solver_pb2
import sys
import types
def Sum(arg):
if type(arg) is types.GeneratorType:
arg = [x for x in arg]
sum = 0
for i in arg:
sum += i
print('sum(%s) = %d' % (str(arg), sum))
def test_sum_no_brackets():
Sum(x for x in range(10) if x % 2 == 0)
Sum([x for x in range(10) if x % 2 == 0])
text_model = """
solver_type:CBC_MIXED_INTEGER_PROGRAMMING
model <
maximize:true
variable < lower_bound:1 upper_bound:10 objective_coefficient:2 >
variable < lower_bound:1 upper_bound:10 objective_coefficient:1 >
constraint < lower_bound:-10000 upper_bound:4
var_index:0
var_index:1
coefficient:1
coefficient:2
>
>
"""
def test_proto():
input_proto = linear_solver_pb2.MPModelRequest()
text_format.Merge(text_model, input_proto)
solver = pywraplp.Solver('solveFromProto',
pywraplp.Solver.CBC_MIXED_INTEGER_PROGRAMMING)
print(input_proto)
# For now, create the model from the proto by parsing the proto
solver.LoadModelFromProto(input_proto.model)
solver.EnableOutput()
solver.Solve()
# Fill solution
solution = linear_solver_pb2.MPSolutionResponse()
solver.FillSolutionResponseProto(solution)
print(solution)
def main():
test_sum_no_brackets()
# test_proto()
if __name__ == '__main__':
main()