New submission from Valeriu Predoi <valeriu.pre...@gmail.com>:
Hey guys, the new unittest.mock.Mock for Python 3.9 can not accept a spec arg
if it is a numpy array, it'll accept all other types but not ndarray, have a
look at this quick minimal code:
import numpy as np
from unittest import mock as mg
ob = mg.Mock(spec=[4, 4])
print("spec is list, mock is", ob)
ob = mg.Mock(spec=["4", "4"])
print("spec is list of str, mock is", ob)
ob = mg.Mock(spec=(4, 4))
print("spec is tuple, mock is", ob)
ob = mg.Mock(spec="cow")
print("spec is string, mock is", ob)
ob = mg.Mock(spec=22)
print("spec is int, mock is", ob)
ob = mg.Mock(spec=np.array([4, 4]))
print("spec is ndarray, mock is", ob)
versions:
python 3.9.0 h2a148a8_4_cpython conda-forge
pytest-mock 3.3.1 pypi_0 pypi
Is this intended or it's a buggy-bug?
Cheers muchly! V
----------
components: Tests
messages: 382634
nosy: valeriupredoi
priority: normal
severity: normal
status: open
title: unittest.mock.Mock spec can't be array/ndarray in Python 3.9
type: behavior
versions: Python 3.9
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Python tracker <rep...@bugs.python.org>
<https://bugs.python.org/issue42586>
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