Files
ortools-clone/examples/python/magic_square.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

107 lines
2.6 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.
"""
Magic squares in Google CP Solver.
Magic square problem.
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(n=4):
# Create the solver.
solver = pywrapcp.Solver("n-queens")
#
# data
#
#
# declare variables
#
x = {}
for i in range(n):
for j in range(n):
x[(i, j)] = solver.IntVar(1, n * n, "x(%i,%i)" % (i, j))
x_flat = [x[(i, j)] for i in range(n) for j in range(n)]
# the sum
# s = ( n * (n*n + 1)) / 2
s = solver.IntVar(1, n * n * n, "s")
#
# constraints
#
# solver.Add(s == ( n * (n*n + 1)) / 2)
solver.Add(solver.AllDifferent(x_flat))
[solver.Add(solver.Sum([x[(i, j)] for j in range(n)]) == s) for i in range(n)]
[solver.Add(solver.Sum([x[(i, j)] for i in range(n)]) == s) for j in range(n)]
solver.Add(solver.Sum([x[(i, i)] for i in range(n)]) == s) # diag 1
solver.Add(solver.Sum([x[(i, n - i - 1)] for i in range(n)]) == s) # diag 2
# symmetry breaking
# solver.Add(x[(0,0)] == 1)
#
# solution and search
#
solution = solver.Assignment()
solution.Add(x_flat)
solution.Add(s)
# db: DecisionBuilder
db = solver.Phase(x_flat,
# solver.INT_VAR_DEFAULT,
solver.CHOOSE_FIRST_UNBOUND,
# solver.CHOOSE_MIN_SIZE_LOWEST_MAX,
# solver.ASSIGN_MIN_VALUE
solver.ASSIGN_CENTER_VALUE)
solver.NewSearch(db)
num_solutions = 0
while solver.NextSolution():
print "s:", s.Value()
for i in range(n):
for j in range(n):
print "%2i" % x[(i, j)].Value(),
print
print
num_solutions += 1
solver.EndSearch()
print
print "num_solutions:", num_solutions
print "failures:", solver.Failures()
print "branches:", solver.Branches()
print "WallTime:", solver.WallTime()
n = 4
if __name__ == "__main__":
if len(sys.argv) > 1:
n = int(sys.argv[1])
main(n)