[New-bugs-announce] [issue45880] Performance regression of Int object operators. (Python 3.11)

[Xinhang Xu]

New submission from Xinhang Xu <xuxinhang4567 at 126.com>:

Hello.

I'm working on a compute-bound project recently, so I tested several Python versions on my PC (Windows 10 64-bit), about Python's performance on operating Int object. All Python binaries are official distributions.


Testcase #1 (simple xor op)

Source:

    import cProfile as profile
    profile.run('for _ in range(500000000): 5 ^ 6')

The given result:

   C:\Users\surface\Desktop\PythonTest>python-3.9.9-embed-amd64\python C:\Users\surface\python_test.py
         3 function calls in 24.398 seconds

   Ordered by: standard name

   ncalls  tottime  percall  cumtime  percall filename:lineno(function)
        1   24.398   24.398   24.398   24.398 <string>:1(<module>)
        1    0.000    0.000   24.398   24.398 {built-in method builtins.exec}
        1    0.000    0.000    0.000    0.000 {method 'disable' of '_lsprof.Profiler' objects}



   C:\Users\surface\Desktop\PythonTest>python-3.10.0-embed-amd64\python C:\Users\surface\python_test.py
         3 function calls in 27.941 seconds

   Ordered by: standard name

   ncalls  tottime  percall  cumtime  percall filename:lineno(function)
        1   27.941   27.941   27.941   27.941 <string>:1(<module>)
        1    0.000    0.000   27.941   27.941 {built-in method builtins.exec}
        1    0.000    0.000    0.000    0.000 {method 'disable' of '_lsprof.Profiler' objects}



   C:\Users\surface\Desktop\PythonTest>python-3.11.0a2-embed-amd64\python C:\Users\surface\python_test.py
         3 function calls in 42.209 seconds

   Ordered by: standard name

   ncalls  tottime  percall  cumtime  percall filename:lineno(function)
        1   42.209   42.209   42.209   42.209 <string>:1(<module>)
        1    0.000    0.000   42.209   42.209 {built-in method builtins.exec}
        1    0.000    0.000    0.000    0.000 {method 'disable' of '_lsprof.Profiler' objects}



Testcase #2 (simple add op)

Source:

    import cProfile as profile
    profile.run('for _ in range(500000000): 5 + 6')

The given result:

   C:\Users\surface\Desktop\PythonTest>python-3.9.9-embed-amd64\python C:\Users\surface\python_test.py
         3 function calls in 24.599 seconds

   Ordered by: standard name

   ncalls  tottime  percall  cumtime  percall filename:lineno(function)
        1   24.599   24.599   24.599   24.599 <string>:1(<module>)
        1    0.000    0.000   24.599   24.599 {built-in method builtins.exec}
        1    0.000    0.000    0.000    0.000 {method 'disable' of '_lsprof.Profiler' objects}



   C:\Users\surface\Desktop\PythonTest>python-3.10.0-embed-amd64\python C:\Users\surface\python_test.py
         3 function calls in 27.414 seconds

   Ordered by: standard name

   ncalls  tottime  percall  cumtime  percall filename:lineno(function)
        1   27.414   27.414   27.414   27.414 <string>:1(<module>)
        1    0.000    0.000   27.414   27.414 {built-in method builtins.exec}
        1    0.000    0.000    0.000    0.000 {method 'disable' of '_lsprof.Profiler' objects}



   C:\Users\surface\Desktop\PythonTest>python-3.11.0a2-embed-amd64\python C:\Users\surface\python_test.py
         3 function calls in 43.675 seconds

   Ordered by: standard name

   ncalls  tottime  percall  cumtime  percall filename:lineno(function)
        1   43.675   43.675   43.675   43.675 <string>:1(<module>)
        1    0.000    0.000   43.675   43.675 {built-in method builtins.exec}
        1    0.000    0.000    0.000    0.000 {method 'disable' of '_lsprof.Profiler' objects}



As you can see, Python 3.11 costs *much more* time to execute Int object operator. I have also tested the same cases on another Windows PC, the result shows the same.

Is it a common thing? What's the reason for this problem?


Thanks.

----------
messages: 406849
nosy: xuxinhang
priority: normal
severity: normal
status: open
title: Performance regression of Int object operators. (Python 3.11)
type: performance
versions: Python 3.11

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Python tracker <report at bugs.python.org>
<https://bugs.python.org/issue45880>
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