Hi all, In https://github.com/numpy/numpy/pull/13207 a discussion started about the tradeoff between performance gain for one function vs increasing the size of a NumPy build by a couple of percent. We also discussed that in the community call on Wednesday and concluded that it may be useful to ask here for some more feedback. Beyond disk/memory usage and download bandwidth, are there specific problems that people are struggling with regarding size of numpy binaries?
Right now a wheel is 16 MB. If we increase that by 10%/50%/100% - are we causing a real problem for someone? Thanks, Ralf
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