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author | Guido van Rossum <guido@python.org> | 2020-08-03 16:04:13 (GMT) |
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committer | GitHub <noreply@github.com> | 2020-08-03 16:04:13 (GMT) |
commit | 488512bf4953d856fcb049a05060a450af52fcdc (patch) | |
tree | 27a37555ebd95259ca97d726fbd5eb3bed1a8b3c /Lib/test/test_threading.py | |
parent | c36dbac588e1d99975f285a874bb20e9f5040af4 (diff) | |
download | cpython-488512bf4953d856fcb049a05060a450af52fcdc.zip cpython-488512bf4953d856fcb049a05060a450af52fcdc.tar.gz cpython-488512bf4953d856fcb049a05060a450af52fcdc.tar.bz2 |
A (very) slight speed improvement for iterating over bytes (#21705)
My mentee @xvxvxvxvxv noticed that iterating over array.array is
slightly faster than iterating over bytes. Looking at the source I
observed that arrayiter_next() calls `getitem(ao, it->index++)` wheras
striter_next() uses the idiom (paraphrased)
item = PyLong_FromLong(seq->ob_sval[it->it_index]);
if (item != NULL)
++it->it_next;
return item;
I'm not 100% sure but I think that the second version has fewer
opportunity for the CPU to overlap the `index++` operation with the
rest of the code (which in both cases involves a call). So here I am
optimistically incrementing the index -- if the PyLong_FromLong() call
fails, this will leave the iterator pointing at the next byte, but
honestly I doubt that anyone would seriously consider resuming use of
the iterator after that kind of failure (it would have to be a
MemoryError). And the author of arrayiter_next() made the same
consideration (or never ever gave it a thought :-).
With this, a loop like
for _ in b: pass
is now slightly *faster* than the same thing over an equivalent array,
rather than slightly *slower* (in both cases a few percent).
Diffstat (limited to 'Lib/test/test_threading.py')
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