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nqueens.py
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nqueens.py
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from utils import timeit
N_QUEENS_SIZE = 12
class NQueens:
def solve(self, n):
col = set()
posDiag = set()
negDiag = set()
res = []
board = [["."] * n for i in range(n)]
def backtrack(r=0):
if r == n:
res.append("\n".join(["".join(row) for row in board]))
return
for c in range(n):
if c in col or (r + c) in posDiag or (r - c) in negDiag:
continue
col.add(c)
posDiag.add(r + c)
negDiag.add(r - c)
board[r][c] = "Q"
backtrack(r + 1)
col.remove(c)
posDiag.remove(r + c)
negDiag.remove(r - c)
board[r][c] = "."
backtrack()
return res
def solve():
NQueens().solve(N_QUEENS_SIZE)
@timeit
def run():
for _ in range(10):
solve()
@timeit
def run_threads():
from concurrent.futures.thread import ThreadPoolExecutor
with ThreadPoolExecutor(max_workers=10) as executor:
for _ in range(10):
executor.submit(solve)
run()
print(',', end='')
run_threads()
print('')