examples/notebook/contrib/place_number_puzzle.ipynb
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First, you must install ortools package in this colab.
%pip install ortools
Place number puzzle Google CP Solver.
http://ai.uwaterloo.ca/~vanbeek/Courses/Slides/introduction.pdf ''' Place numbers 1 through 8 on nodes
Compare with the following models:
This model was created by Hakan Kjellerstrand ([email protected]) 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("Place number")
# data
m = 32
n = 8
# Note: this is 1-based for compatibility (and lazyness)
graph = [[1, 2], [1, 3], [1, 4], [2, 1], [2, 3], [2, 5], [2, 6], [3, 2],
[3, 4], [3, 6], [3, 7], [4, 1], [4, 3], [4, 6], [4, 7], [5, 2],
[5, 3], [5, 6], [5, 8], [6, 2], [6, 3], [6, 4], [6, 5], [6, 7],
[6, 8], [7, 3], [7, 4], [7, 6], [7, 8], [8, 5], [8, 6], [8, 7]]
# declare variables
x = [solver.IntVar(1, n, "x%i" % i) for i in range(n)]
#
# constraints
#
solver.Add(solver.AllDifferent(x))
for i in range(m):
# Note: make 0-based
solver.Add(abs(x[graph[i][0] - 1] - x[graph[i][1] - 1]) > 1)
# symmetry breaking
solver.Add(x[0] < x[n - 1])
#
# solution and search
#
solution = solver.Assignment()
solution.Add(x)
collector = solver.AllSolutionCollector(solution)
solver.Solve(
solver.Phase(x, solver.CHOOSE_FIRST_UNBOUND, solver.ASSIGN_MIN_VALUE),
[collector])
num_solutions = collector.SolutionCount()
for s in range(num_solutions):
print("x:", [collector.Value(s, x[i]) for i in range(len(x))])
print()
print("num_solutions:", num_solutions)
print("failures:", solver.Failures())
print("branches:", solver.Branches())
print("WallTime:", solver.WallTime())
print()
main()