Question

请不要忽视长码，这很简单。 Basicaly我试图用Python做一个生命游戏。这是我收到错误的地方。

当我调用neighbour_count（）函数时，我可以正确地获得每个元素所具有的邻居数。

def neighbours_count(self):

    neighbours_count = convolve2d(self.board, np.ones((3, 3)), 
                                  mode='same', boundary='wrap') - self.board                                      
    self.neighbours_count = neighbours_count

然后我想进行下一步并采取行动，制定4条规则，游戏正确进行：

def make_step(self):
    # We want to check the actual board and not the board that exists after eg. step 2.
    self.board_new = np.zeros(shape=(self.size, self.size))

    # 1. Any live cell with fewer than two live neighbours dies, as if caused by under-population.
    mask = (self.board == 1) & (self.neighbours_count < 2)
    self.board_new[mask] = 0

    # 2. Any live cell with two or three live neighbours lives on to the next generation.
    mask1 = (self.board == 1) & (self.neighbours_count == 2)
    self.board_new[mask1] = 1
    mask2 = (self.board == 1) & (self.neighbours_count == 3)
    self.board_new[mask2] = 1        

    # 3. Any live cell with more than three live neighbours dies, as if by overcrowding.
    mask = (self.board == 1) & (self.neighbours_count > 3)
    self.board_new[mask] = 0

    # 4. Any dead cell with exactly three live neighbours becomes a live cell, as if by reproduction.
    mask = (self.board == 0) & (self.neighbours_count == 3)
    self.board_new[mask] = 1

    self.board = self.board_new

然而，当我想再做相同的事情（即计算邻居）时，我第二次调用neighbour_count函数：

TypeError：＆＃39; numpy.ndarray＆＃39;对象不可调用

我花了不合理的时间在这上面，有人可以帮忙吗？

感谢。

Answer 1

最初，neighbours_count是一种方法：

def neighbours_count(self):

    neighbours_count = convolve2d(self.board, np.ones((3, 3)), 
                                  mode='same', boundary='wrap') - self.board                                      
    self.neighbours_count = neighbours_count   
    ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

但是，您可以使用convolve2d函数的结果替换此标记行中的方法（您很容易将称为neighbours_count），所以当你试着再次调用它，你没有得到方法，你得到了价值。这是ndarray，并且不可调用，因此：

TypeError: 'numpy.ndarray' object is not callable

我不确定你要做什么，但是如果你想在某处隐藏价值，人们通常会使用单个下划线，例如self._neighbours_count。

'numpy.ndarray'对象不可调用

1 个答案: