Okay, I see that by "fails", you probably meant "raises this
exception" rather than fails the usual way (i.e. raises an AssertionError).
Here, `seq1 == seq2` produces a boolean array (i.e., an array of boolean values).
hth, Alan Isaac
On 12/22/2020 2:28 PM, Ivan Pozdeev via Python-Dev wrote:
You sure about that? For me, bool(np.array) raises an exception:
In : np.__version__ Out: '1.19.4'
In : if [False, False]==np.array([False, False]): print("foo") <...> ValueError: The truth value of an array with more than one element is ambiguous.
Use a.any() or a.all()
On 22.12.2020 21:52, Alan G. Isaac wrote:_______________________________________________
The following test fails because because `seq1 == seq2` returns a (boolean) NumPy array whenever either seq is a NumPy array.
import unittest import numpy as np unittest.TestCase().assertSequenceEqual([1.,2.,3.], np.array([1.,2.,3.]))
I expected `unittest` to rely only on features of a `collections.abc.Sequence`, which based on https://docs.python.org/3/glossary.html#term-sequence, I believe are satisfied by a NumPy array. Specifically, I see no requirement that a sequence implement __eq__ at all much less in any particular way.
In short: a test named `assertSequenceEqual` should, I would think, work for any sequence and therefore (based on the available documentation) should not depend on the class-specific implementation of __eq__.
Is that wrong?
Thank you, Alan Isaac _______________________________________________ Python-Dev mailing list -- email@example.com To unsubscribe send an email to firstname.lastname@example.org https://mail.python.org/mailman3/lists/python-dev.python.org/ Message archived at https://email@example.com/message/6Z43SU2RPIHTRABYAXBOGRKWGTLIFJYK/ Code of Conduct: http://python.org/psf/codeofconduct/
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