Speed-up math.dist() by 30% - #9628
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serhiy-storchaka
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Sep 28, 2018
| double diffs_on_stack[NUM_STACK_ELEMS]; | ||
| double *diffs = diffs_on_stack; | ||
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| if (!PyTuple_Check(p)) { |
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Two ifs can be merged since their bodies are same.
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Manual type checking is much faster than the argument clinic equivalent.
--------- baseline ------------
$ pytime -r11 -s 'from math import dist' -s 'p=(1.1, 2.2)' -s 'q=(1.5, 2.5)' 'dist(p, q)'
5000000 loops, best of 11: 95.5 nsec per loop
$ pytime -r11 -s 'from math import dist' -s 'p=(1.1, 2.2)' -s 'q=(1.5, 2.5)' 'dist(p, q)'
5000000 loops, best of 11: 95.3 nsec per loop
$ pytime -r11 -s 'from math import dist' -s 'p=(1.1, 2.2)' -s 'q=(1.5, 2.5)' 'dist(p, q)'
5000000 loops, best of 11: 95.5 nsec per loop
------ patched ------
$ pytime -r11 -s 'from math import dist' -s 'p=(1.1, 2.2)' -s 'q=(1.5, 2.5)' 'dist(p, q)'
5000000 loops, best of 11: 67 nsec per loop
$ pytime -r11 -s 'from math import dist' -s 'p=(1.1, 2.2)' -s 'q=(1.5, 2.5)' 'dist(p, q)'
5000000 loops, best of 11: 67.2 nsec per loop
$ pytime -r11 -s 'from math import dist' -s 'p=(1.1, 2.2)' -s 'q=(1.5, 2.5)' 'dist(p, q)'
5000000 loops, best of 11: 67.3 nsec per loop