Hi all, I ran into an odd edge-case with np.mod and was wondering if this is the expected behavior, and if so why. This is on a fresh install of python 3.10.14 with numpy 1.26.4 from conda-forge.
>>> import numpy as np # I have a hard time coming up with a rationale for why 2 of these produce non-inf values and the other 2 produce inf values. >>> np.mod(1., np.inf) 1.0 >>> np.mod(1., -np.inf) -inf >>> np.mod(-1., -np.inf) -1.0 >>> np.mod(-1., np.inf) inf # these are possibly sensible although the signed zero pattern is unexpected to me. >>> np.mod(0., np.inf) 0.0 >>> np.mod(0., -np.inf) -0.0 >>> np.mod(-0., -np.inf) -0.0 >>> np.mod(-0., np.inf) 0.0 Any ideas why these are the return values? I had a hard time tracking down where in the numpy source np.mod was coming from. Jesse _______________________________________________ NumPy-Discussion mailing list -- numpy-discussion@python.org To unsubscribe send an email to numpy-discussion-le...@python.org https://mail.python.org/mailman3/lists/numpy-discussion.python.org/ Member address: arch...@mail-archive.com
