Message260517
Theoretically, an object type that consistently allocates more than the small object threshold would perform a bit slower because
it would first jump to the small object allocator, do the size comparison and then jump to malloc. There would be a small overhead
if PyMem_* would be redirected to PyObject_* in this (hypothetical) case and the initial choice of PyMem_* over PyObject_* might have
been determined by knowing about that overhead. This is because many think of PyMem_* as the lower-level allocator, PyObject_* as a
higher-level one. Of course, PyMem_Raw* should be used in such cases, but it's not as widely adopted as the other two.
I will post some benchmark results on your issue page as soon as I get them. |
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Date |
User |
Action |
Args |
2016-02-19 11:06:31 | catalin.manciu | set | recipients:
+ catalin.manciu, vstinner, florin.papa |
2016-02-19 11:06:31 | catalin.manciu | set | messageid: <1455879991.19.0.181057753079.issue26382@psf.upfronthosting.co.za> |
2016-02-19 11:06:31 | catalin.manciu | link | issue26382 messages |
2016-02-19 11:06:30 | catalin.manciu | create | |
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