Example of incompatibility between flexmock and numpy arrays

flexmock_numpy.py

from flexmock import *
import numpy as np
import unittest


class FlexmockNumpyTest(unittest.TestCase):

    def testFlexmockNumpy(self):
        someArray = np.array([[0, 1], [2, 3]])
        equalToSomeArray = someArray.copy()
        mock = flexmock()
        mock.should_receive("funcWithArrayArg").with_args(someArray)
        mock.funcWithArrayArg(equalToSomeArray)


if __name__ == "__main__":
    unittest.main()

output

E.
======================================================================
ERROR: testFlexmockNumpy (__main__.FlexmockNumpyTest)
----------------------------------------------------------------------
Traceback (most recent call last):
  File "flexmock_numpy.py", line 13, in testFlexmockNumpy
    mock.funcWithArrayArg(equalToSomeArray)
  File "/Volumes/Home/blubb/bin/python/lib/python/flexmock.py", line 670, in mock_method
    self, method, arguments)
  File "/Volumes/Home/blubb/bin/python/lib/python/flexmock.py", line 104, in get_flexmock_expectation
    if e.method == name and _match_args(args, e.args):
  File "/Volumes/Home/blubb/bin/python/lib/python/flexmock.py", line 792, in _match_args
    if (given_args == expected_args or expected_args is None):
ValueError: The truth value of an array with more than one element is ambiguous. Use a.any() or a.all()

----------------------------------------------------------------------
Ran 1 test in 0.046s

FAILED (errors=1)