Yury Selivanov added the comment:
Victor,
Here's an updated benchmark results:
NUMBER_OF_TASKS 10000
ITERATIONS -> 2000 out of 2000
2 loops: 0.004267875499863294
1 loop: 0.007916624497738667
TOTAL_BENCH_TIME 15.975227117538452
NUMBER_OF_TASKS 100000
ITERATIONS -> 2000 out of 2000
2 loops: 0.04882345050100412
1 loop: 0.09141454550081107
TOTAL_BENCH_TIME 180.64003109931946
2 loops is always about 30-40% slower. I've updated the benchmark I used:
https://gist.github.com/1st1/b38ac6785cb01a679722
Now it incorporates a call to heapify, and should yield more stable results.
Please check it out, as I'm maybe doing something wrong there, but if it's
alright, I think that you need to revert your commits.
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<http://bugs.python.org/issue22448>
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