examples/notebook/constraint_solver/nqueens_cp.ipynb
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First, you must install ortools package in this colab.
%pip install ortools
OR-Tools solution to the N-queens problem.
import sys
from ortools.constraint_solver import pywrapcp
def main(board_size):
# Creates the solver.
solver = pywrapcp.Solver("n-queens")
# Creates the variables.
# The array index is the column, and the value is the row.
queens = [solver.IntVar(0, board_size - 1, f"x{i}") for i in range(board_size)]
# Creates the constraints.
# All rows must be different.
solver.Add(solver.AllDifferent(queens))
# No two queens can be on the same diagonal.
solver.Add(solver.AllDifferent([queens[i] + i for i in range(board_size)]))
solver.Add(solver.AllDifferent([queens[i] - i for i in range(board_size)]))
db = solver.Phase(queens, solver.CHOOSE_FIRST_UNBOUND, solver.ASSIGN_MIN_VALUE)
# Iterates through the solutions, displaying each.
num_solutions = 0
solver.NewSearch(db)
while solver.NextSolution():
# Displays the solution just computed.
for i in range(board_size):
for j in range(board_size):
if queens[j].Value() == i:
# There is a queen in column j, row i.
print("Q", end=" ")
else:
print("_", end=" ")
print()
print()
num_solutions += 1
solver.EndSearch()
# Statistics.
print("\nStatistics")
print(f" failures: {solver.Failures()}")
print(f" branches: {solver.Branches()}")
print(f" wall time: {solver.WallTime()} ms")
print(f" Solutions found: {num_solutions}")
# By default, solve the 8x8 problem.
size = 8
if len(sys.argv) > 1:
size = int(sys.argv[1])
main(size)