if np.random.randint(0, 10000) / 10000.0 > temp:
states[i], states_value[i] = sudoku.best_child(states[i])
if sudoku.same_states(states[i], previous_states[:, i]):
states[i] = sudoku.random_child(states[i])
states_value[i] = sudoku.value(states[i])
previous_states[current_storing_state,
i] = copy.deepcopy(states[i])
else:
states[i] = sudoku.random_child(states[i])
states_value[i] = sudoku.value(states[i])
previous_states[current_storing_state,
i] = copy.deepcopy(states[i])
if sudoku.goal_test(states[i]):
print(states_value)
print(states[i])
print(
sudoku.board_clashes(states[states_value.index(
max(states_value))]))
exit()
current_storing_state += 1
if current_storing_state == STORED_STATES:
current_storing_state = 0
print(states_value)
print(states[states_value.index(max(states_value))])
print(sudoku.board_clashes(states[states_value.index(max(states_value))]))
