# Copyright 2010 Hakan Kjellerstrand hakank@gmail.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. """ Langford's number problem in Google CP Solver. Langford's number problem (CSP lib problem 24) http://www.csplib.org/prob/prob024/ ''' Arrange 2 sets of positive integers 1..k to a sequence, such that, following the first occurence of an integer i, each subsequent occurrence of i, appears i+1 indices later than the last. For example, for k=4, a solution would be 41312432 ''' * John E. Miller: Langford's Problem http://www.lclark.edu/~miller/langford.html * Encyclopedia of Integer Sequences for the number of solutions for each k http://www.research.att.com/cgi-bin/access.cgi/as/njas/sequences/eisA.cgi?Anum=014552 Also, see the following models: * MiniZinc: http://www.hakank.org/minizinc/langford2.mzn * Gecode/R: http://www.hakank.org/gecode_r/langford.rb * ECLiPSe: http://hakank.org/eclipse/langford.ecl * SICStus: http://hakank.org/sicstus/langford.pl This model was created by Hakan Kjellerstrand (hakank@gmail.com) Also see my other Google CP Solver models: http://www.hakank.org/google_or_tools/ """ from __future__ import print_function import sys from ortools.constraint_solver import pywrapcp def main(k=8, num_sol=0): # Create the solver. solver = pywrapcp.Solver("Langford") # # data # print("k:", k) p = list(range(2 * k)) # # declare variables # position = [solver.IntVar(0, 2 * k - 1, "position[%i]" % i) for i in p] solution = [solver.IntVar(1, k, "position[%i]" % i) for i in p] # # constraints # solver.Add(solver.AllDifferent(position)) for i in range(1, k + 1): solver.Add(position[i + k - 1] == position[i - 1] + i + 1) solver.Add(solver.Element(solution, position[i - 1]) == i) solver.Add(solver.Element(solution, position[k + i - 1]) == i) # symmetry breaking solver.Add(solution[0] < solution[2 * k - 1]) # # search and result # db = solver.Phase(position, solver.CHOOSE_FIRST_UNBOUND, solver.ASSIGN_MIN_VALUE) solver.NewSearch(db) num_solutions = 0 while solver.NextSolution(): print("solution:", ",".join([str(solution[i].Value()) for i in p])) num_solutions += 1 if num_sol > 0 and num_solutions >= num_sol: break solver.EndSearch() print() print("num_solutions:", num_solutions) print("failures:", solver.Failures()) print("branches:", solver.Branches()) print("WallTime:", solver.WallTime()) k = 8 num_sol = 0 if __name__ == "__main__": if len(sys.argv) > 1: k = int(sys.argv[1]) if len(sys.argv) > 2: num_sol = int(sys.argv[2]) main(k, num_sol)