Files
ortools-clone/examples/python/grocery.py
Chris Drake 8927b03942 Get rid of unnecessary string imports
Some of these imports are not used.
The rest of them only import string to use the string.atoi function.
But string.atoi(s) on a string input is identical to just int(s).
See the docs: "deprecated since 2.0".
2015-12-16 00:05:33 -08:00

95 lines
2.5 KiB
Python

# Copyright 2010 Hakan Kjellerstrand hakank@bonetmail.com
#
# 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.
"""
Grocery problem in Google CP Solver.
From Christian Schulte, Gert Smolka, Finite Domain
http://www.mozart-oz.org/documentation/fdt/
Constraint Programming in Oz. A Tutorial. 2001.
'''
A kid goes into a grocery store and buys four items. The cashier
charges $7.11, the kid pays and is about to leave when the cashier
calls the kid back, and says 'Hold on, I multiplied the four items
instead of adding them; I'll try again; Hah, with adding them the
price still comes to $7.11'. What were the prices of the four items?
'''
Compare with the following models:
* MiniZinc: http://hakank.org/minizinc/grocery.mzn
* Comet: http://hakank.org/comet/grocery.co
* Zinc: http://hakank.org/minizinc/grocery.zinc
This model was created by Hakan Kjellerstrand (hakank@bonetmail.com)
Also see my other Google CP Solver models:
http://www.hakank.org/google_or_tools/
"""
import sys
from ortools.constraint_solver import pywrapcp
def main():
# Create the solver.
solver = pywrapcp.Solver("Grocery")
#
# data
#
n = 4
c = 711
#
# declare variables
#
item = [solver.IntVar(0, c, "item[%i]" % i) for i in range(n)]
#
# constraints
#
solver.Add(solver.Sum(item) == c)
solver.Add(reduce(lambda x, y: x * y, item) == c * 100 ** 3)
# symmetry breaking
for i in range(1, n):
solver.Add(item[i - 1] < item[i])
#
# search and result
#
db = solver.Phase(item,
solver.INT_VAR_SIMPLE,
solver.INT_VALUE_SIMPLE)
solver.NewSearch(db)
num_solutions = 0
while solver.NextSolution():
print "item:", [item[i].Value() for i in range(n)]
print
num_solutions += 1
solver.EndSearch()
print
print "num_solutions:", num_solutions
print "failures:", solver.Failures()
print "branches:", solver.Branches()
print "WallTime:", solver.WallTime()
if __name__ == "__main__":
main()