def performance_test():
ai.transpositionTable = dict()
ai.total_moves = 0
_board = boards['difficultPosition']
test_start_time = now()
for depth in range(1, 6):
start_time = now()
best_move, _ = ai.search(_board, depth, ai.evaluate(_board), True, -99999, 99999)
print('{}\t\t\t{}\t\t{:.3f}\t{}'.format(ai.total_moves, depth, now() - start_time, len(ai.transpositionTable)))
# print('\n'.join(' '.join(piece for piece in row) for row in best_move.__reversed__()) + '\n')
print('{} moves made per second'.format(int(ai.total_moves / (now() - test_start_time))))
assert len(list(ai.moves(boards['pawnTakePosition1'], False))) == 3
assert len(list(ai.moves(boards['pawnTakePosition2'], True))) == 3
assert len(list(ai.moves(boards['pawnTakePosition2'], False))) == 2
assert len(list(ai.moves(boards['castlingPosition'], True))) == 16
assert len(list(ai.moves(boards['castlingPosition'], False))) == 16
assert not ai.is_check(boards['kingSavePosition'], True)
assert not ai.is_check(boards['kingSavePosition'], False)
assert not ai.is_check(boards['kingThreat'], True)
assert ai.is_check(boards['kingThreat'], False)
assert ai.position_value['N'][3 + 4 * 16] == ai.position_value['N'][4 + 3 * 16]
assert ai.position_value['N'][3 + 4 * 16] == -ai.position_value['n'][3 + 4 * 16]
assert ai.position_value['P'][16] < ai.position_value['P'][5 * 16]
assert ai.position_value['p'][6 * 16] > ai.position_value['p'][2 * 16]
assert ai.position_value['P'][4 * 16] < ai.position_value['P'][4 + 4 * 16]
# the king can be taken in 5 ply
assert ai.search(boards['findCheckMate'], 4, ai.evaluate(boards['findCheckMate']), True, -99999, 99999)[1] < 10000
assert ai.search(boards['findCheckMate'], 5, ai.evaluate(boards['findCheckMate']), True, -99999, 99999)[1] > 10000
def performance_test():
ai.transpositionTable = dict()
ai.total_moves = 0
_board = boards['difficultPosition']
test_start_time = now()
for depth in range(1, 6):
start_time = now()
best_move, _ = ai.search(_board, depth, ai.evaluate(_board), True, -99999, 99999)
print('{}\t\t\t{}\t\t{:.3f}\t{}'.format(ai.total_moves, depth, now() - start_time, len(ai.transpositionTable)))
# print('\n'.join(' '.join(piece for piece in row) for row in best_move.__reversed__()) + '\n')
print('{} moves made per second'.format(int(ai.total_moves / (now() - test_start_time))))