python - 模拟 : assert mock_calls with a numpy array as argument raises ValueError and np. testing.assert_array_equal 不起作用

Question

我有一个模拟对象，我想使用mock_calls检查它的调用，它是用numpy数组调用的。但问题是它会引发 ValueError，如下面的简单玩具示例所示。

>>> mocked_model_called_with_np_array = mock.Mock()
>>> mocked_model_called_with_np_array(np.array([1, 2]))
>>> mocked_model_called_with_np_array.mock_calls
[call(array([1, 2]))]

现在我设置了预期的调用:

>>> expected_call_with_numpy = [mock.call(np.array([1, 2]))]

现在，如果我如下所示检查它，则会引发错误:

>>> assert expected_call_with_numpy == mocked_model_called_with_np_array.mock_calls

---------------------------------------------------------------------------
---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
<ipython-input-61-9806e62badf5> in <module>
----> 1 assert expected_call_with_numpy == mocked_model_called_with_np_array.mock_calls

c:\..\python\python36\lib\unittest\mock.py in __eq__(self, other)
   2053 
   2054         # this order is important for ANY to work!
-> 2055         return (other_args, other_kwargs) == (self_args, self_kwargs)
   2056 
   2057 

ValueError: The truth value of an array with more than one element is ambiguous. Use a.any() or a.all()

我在 stackoverflow 上的搜索和找到的解决方案:

HERE当你有 numpy 数组时，建议使用 np.testing.assert_array_equal ，但这也不能解决我的问题，如下所示。

>>> np.testing.assert_array_equal(expected_call_with_numpy, mocked_model_called_with_np_array.mock_calls)

---------------------------------------------------------------------------
AssertionError                            Traceback (most recent call last)
<ipython-input-57-4a0373c94354> in <module>
----> 1 np.testing.assert_array_equal(expected_call_with_numpy, mocked_model_called_with_np_array.mock_calls)

c:\...\python\python36\lib\site-packages\numpy\testing\utils.py in assert_array_equal(x, y, err_msg, verbose)
    852     __tracebackhide__ = True  # Hide traceback for py.test
    853     assert_array_compare(operator.__eq__, x, y, err_msg=err_msg,
--> 854                          verbose=verbose, header='Arrays are not equal')
    855 
    856 

c:\...\python\python36\lib\site-packages\numpy\testing\utils.py in assert_array_compare(comparison, x, y, err_msg, verbose, header, precision, equal_nan, equal_inf)
    776                                 names=('x', 'y'), precision=precision)
    777             if not cond:
--> 778                 raise AssertionError(msg)
    779     except ValueError:
    780         import traceback

AssertionError: 
Arrays are not equal

(mismatch 100.0%)
 x: array([['', (array([1, 2]),), {}]], dtype=object)
 y: array([['', (array([1, 2]),), {}]], dtype=object)

请注意，数组是相同的，但会产生错误!

任何人都可以评论如何将mock_calls用于使用numpy数组调用的mockec对象，然后检查mock_calls是否产生预期的调用？例如，如下所示

assert expected_call_with_numpy == mocked_model_called_with_np_array.mock_calls

Answer 1

在尝试检查模拟调用是否包含特定的 numpy 数组时遇到了同样的问题。事实证明，调用对象是可索引的，因此您也可以执行以下操作:

>>> import numpy as np
>>> from unittest import mock
>>> mock_object = mock.MagicMock()
>>> mock_object(1, np.array([1, 2, 3]), a=3)
>>> mock_object(10, np.array([10, 20, 30]), b=30)
>>> calls = mock_object.call_args_list
>>> calls
[call(1, array([1, 2, 3]), a=3), call(10, array([10, 20, 30]), b=30)]
>>> calls[0]
call(1, array([1, 2, 3]), a=3)
>>> calls[0][0]
(1, array([1, 2, 3]))
>>> calls[0][1]
{'a': 3}

因此，您不必断言调用相等，您只需检查调用是否已进行以及传递的参数是否单独正确，丑陋但有效:

>>> assert mock_object.call_count == 2
>>> assert calls[0][0][0] == 1
>>> np.testing.assert_array_equal(calls[0][0][1], np.array([1, 2, 3]))
>>> assert calls[0][1]['a'] == 3
...