I am not sure I understand what you mean. Specifically that np.isclose will return a memmap if one of the inputs is a memmap. The result is a brand new array, right? So, what is that result memmapping from? Also, how does this impact np.allclose()? That function returns a scalar True/False, so what is the change in behavior there?
By the way, the docs for isclose in 1.10.1 does not mention any behavior changes. Ben Root On Wed, Nov 4, 2015 at 2:28 PM, Charles R Harris <charlesr.har...@gmail.com> wrote: > Hi All, > > This is to open a discussion of a change of behavior of `np.allclose`. > That function uses `isclose` in numpy 1.10 with the result that array > subtypes are preserved whereas before they were not. In particular, memmaps > are returned when at least one of the inputs is a memmap. By and large I > think this is a good thing, OTOH, it is a change in behavior. It is easy to > fix, just run `np.array(result, copy=False)` on the current `result`, but I > thought I'd raise the topic on the list in case there is a good argument to > change things. > > Chuck > > _______________________________________________ > NumPy-Discussion mailing list > NumPy-Discussion@scipy.org > https://mail.scipy.org/mailman/listinfo/numpy-discussion > >
_______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org https://mail.scipy.org/mailman/listinfo/numpy-discussion
