我有以下循环：

comprehensive_merged_function = np.zeros(shape=(0, 1))

for i in range(256):
    comprehensive_merged_function = np.append(comprehensive_merged_function, utils.dec_to_bin(i, 8))

comprehensive_merged_function = np.array([list(s) for s in comprehensive_merged_function]).astype(int)

它为我提供了以下数组：

[[0 0 0 0 0 0 0 0]
 [0 0 0 0 0 0 0 1]
 [0 0 0 0 0 0 1 0]
 ...
 [1 1 1 1 1 1 0 1]
 [1 1 1 1 1 1 1 0]
 [1 1 1 1 1 1 1 1]]

我想在256行中的每一行后面加上8倍(-1)，以获得以下所需结果：

[[0 0 0 0 0 0 0 0 -1 -1 -1 -1 -1 -1 -1 -1]
     [0 0 0 0 0 0 0 1 -1 -1 -1 -1 -1 -1 -1 -1]
     [0 0 0 0 0 0 1 0 -1 -1 -1 -1 -1 -1 -1 -1]
     ...
     [1 1 1 1 1 1 0 1 -1 -1 -1 -1 -1 -1 -1 -1]
     [1 1 1 1 1 1 1 0 -1 -1 -1 -1 -1 -1 -1 -1]
     [1 1 1 1 1 1 1 1 -1 -1 -1 -1 -1 -1 -1 -1]]

我尝试了以下几种方法：

comprehensive_merged_function = np.zeros(shape=(0, 1))
appending_indexes = np.array([-1, -1, -1, -1, -1, -1, -1, -1])

for i in range(256):
    comprehensive_merged_function = np.append(comprehensive_merged_function, utils.dec_to_bin(i, 8))
    comprehensive_merged_function = np.row_stack(comprehensive_merged_function, appending_indexes)

comprehensive_merged_function = np.array([list(s) for s in comprehensive_merged_function]).astype(int)

我收到以下错误：

Traceback (most recent call last):
  File "compression comprehensive testing.py", line 262, in <module>
    comprehensive_merged_function = np.row_stack(comprehensive_merged_function, appending_indexes)
  File "<__array_function__ internals>", line 4, in vstack
TypeError: _vhstack_dispatcher() takes 1 positional argument but 2 were given

当然，我尝试了许多不同的方法来解决这个问题，但结果更糟，为了避免帖子超载，我没有在这里展示这些方法。
任何对我如何才能得到想要的结果的帮助都将不胜感激。