On Wed, 11 Mar 2020 at 18:08, Serhiy Storchaka <storch...@gmail.com> wrote: > There is a precedence (although not in the stdlib): NumPy array with > dtype=bool. > > >>> import numpy > >>> bool(numpy.array([False, False])) > Traceback (most recent call last): > File "<stdin>", line 1, in <module> > ValueError: The truth value of an array with more than one element is > ambiguous. Use a.any() or a.all()
Actually, this is the behaviour of ndarray with any dtype. And IMHO ithis is quite.... terrible? I was so used to have False for an empty iterable that ndarray surprised me. I had to add a boolean() function in my little msutils module, that works also for ndarrays. And the reason ndarray do this is because it also override __eq__(): https://github.com/numpy/numpy/issues/15573 _______________________________________________ Python-ideas mailing list -- python-ideas@python.org To unsubscribe send an email to python-ideas-le...@python.org https://mail.python.org/mailman3/lists/python-ideas.python.org/ Message archived at https://mail.python.org/archives/list/python-ideas@python.org/message/GVTHHQZ6USSQVUI3IM7KU42TKWS4ITFY/ Code of Conduct: http://python.org/psf/codeofconduct/
