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Igor Dunaev 2023-10-12 19:52:30 +03:00
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## Script execution time measurements
|Interpeter |Pure Python (function) |Pure Python (total) |Python w/ typehints (function) |Python w/ typehints (total) |Python w/ Numpy (function) |Python w/ Numpy (total)|
|----------------------------------------------------|-----------------------|--------------------|-------------------------------|----------------------------|---------------------------|-----------------------|
|CPython 3.11 | 0.1509 |0.1726 | 0.1506 |0.1722 |0.2548 |0.3540 |
|CPython 3.8 | 0.2705 |0.2954 | 0.2616 |0.2920 |0.3383 |0.4504 |
|PyPy 7.3 | 0.03735 |0.1092 | 0.03772 |0.1111 |1.464 |1.786 |
|PyPy 5.7 | 0.03577 |0.09745 | 0.03718 |0.1164 |n/a (1) |n/a (1) |
|IronPython 3.4 | 0.2497 |1.722 | 0.2120 |2.020 |n/a (2) |n/a (2) |
|Nuitka 1.6.6 (Python 3.11 + GCC 13.2 CCFLAGS='-O3') | 0.1157 |0.157 | 0.1163 |0.1506 |0.224 |0.3205 |
|Pyodide 0.24.1 (Python 3.11) | 0.5832 |n/a (3) | 0.599 |n/a (3) |0.9684 |n/a (3) |
### Notes
* (1) PyPy 5.7 appears to be incompatible with Numpy builds for Python 3.5. I didn't manage to find any information on Numpy support in earlier (pre Python 3.8) version of PyPy.
* (2) IronPython is incompatible with Numpy.
* (3) Being a WASM application, Pyodide is bound to browser runtime, which does not allow to measure script execution time easily.