Hi there! I'm looking at options for fixed-point math, and none of the existing Python modules (https://github.com/smlgit/fpbinary, https://github.com/francof2a/fxpmath, etc.) seem to check the right boxes, so I'm thinking about creating my own, and maybe contributing it to numpy.
Are there any facilities in numpy to manage integer overflow in addition/subtraction/multiplication of values with identical dtypes? The default behavior with integer types like np.uint8 appears to be twos-complement wrapping syntax with an optional warning (or exception or whatever via np.seterr), and that's well-designed, but not as helpful as what I'd like to see in some cases where I'm willing to sacrifice some speed to provide feedback. Ideally if there is an overflow in an array operation I'd like to produce an "overflow array" that's the same size as the result array, but with the values +1 if it's a positive overflow or -1 if it's a negative overflow. That way I can either raise an exception or saturate the output. If there are not such facilities already --- and again, I don't want to burden the default operations with this kind of behavior, but would like to see some way of facilitating this behavior through some mechanism --- let me know and I will open up a feature request. --Jason _______________________________________________ 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
