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| author | Sebastian Berg <sebastian@sipsolutions.net> | 2022-03-11 21:14:57 -0800 |
|---|---|---|
| committer | Sebastian Berg <sebastian@sipsolutions.net> | 2022-04-24 21:47:50 +0200 |
| commit | 4fdcee8dd9f6221ff9b1df3b0187f1898315b582 (patch) | |
| tree | 8bfcab399430277b738f9722024bcd577e05843e /numpy/array_api/tests | |
| parent | fd9c3efc2d7c0721e537bda2538d78995d14ec7c (diff) | |
| download | numpy-4fdcee8dd9f6221ff9b1df3b0187f1898315b582.tar.gz | |
MAINT: Use inline functions and avoid FPE's for integers
This significantly speeds pure up integer operations since checking
floating point errors is somewhat slow.
It seems to slow down some clongdouble math a tiny bit, maybe because
the functions don't always get inlined fully.
Diffstat (limited to 'numpy/array_api/tests')
0 files changed, 0 insertions, 0 deletions