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author | Sebastian Berg <sebastian@sipsolutions.net> | 2020-06-07 13:40:11 -0500 |
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committer | Sebastian Berg <sebastian@sipsolutions.net> | 2020-06-08 09:21:17 -0500 |
commit | e32c3155cff28437593952caddfedbda565b64cf (patch) | |
tree | 42303cf159a65bba0bef0c53dfb1eec05084d08c /numpy/polynomial/polyutils.py | |
parent | 267621f07a902eceffc179fa01f984f3e2d4bdcd (diff) | |
download | numpy-e32c3155cff28437593952caddfedbda565b64cf.tar.gz |
MAINT: User array alignment to speed up buffer export
Calculating alignments can be slow, but unless we have a structured
dtype, we can simply use the arrays alignment.
This code can probably re-use more of the array alignment code
(or maybe alignment checks moved into the dtype) even in the
structured case. The code using the % operator is very slow
compared to the existing power-of-two-assuming alignment code.
Diffstat (limited to 'numpy/polynomial/polyutils.py')
0 files changed, 0 insertions, 0 deletions