[Numpy-discussion] Managing integer overflow

[jmsachs]

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
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[Numpy-discussion] Align Community & Triage meeting times

[Ross Barnowski]

Hi All,

Currently, the numpy community and triage meetings alternate between 7PM
UTC (community) and 5PM UTC (triage) on a biweekly basis.

At the most recent community meeting, there was a strong preference among
attendees to do away with the alternating times and have both meetings at
5PM UTC.

Therefore, I plan to update the meeting times so that both community &
triage meetings are held at 5PM UTC (10AM PST, 8PM EEST). This time was
determined to work better for regular meeting attendees, but if there are
any strong objections please comment on this pull request
.

~Ross
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