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blueloveTH 2023-05-20 19:10:17 +08:00
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docs/performance.md
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@ -6,43 +6,44 @@ label: Performance
# Performance
Currently, pkpy is almost~ fast as cpython 3.8. Here is a benchmark result of a special commit.
Currently, pkpy is a bit faster than cpython 3.8. Here is a benchmark result of a special commit.
Benchmark files are located in `benchmarks/`.
See [actions/runs/4729609975/jobs/8392313856](https://github.com/blueloveTH/pocketpy/actions/runs/4729609975/jobs/8392313856).
See [actions/runs/5031865496/jobs/9025183674](https://github.com/blueloveTH/pocketpy/actions/runs/5031865496/jobs/9025183674).
```
Testing directory: benchmarks/
> benchmarks/fib.py
cpython: 0.686955s (100%)
pocketpy: 0.652851s (95.04%)
cpython: 0.684102s (100%)
pocketpy: 0.680497s (99.47%)
> benchmarks/loop_0.py
cpython: 0.315438s (100%)
pocketpy: 0.205589s (65.18%)
cpython: 0.338688s (100%)
pocketpy: 0.189629s (55.99%)
> benchmarks/loop_1.py
cpython: 0.621474s (100%)
pocketpy: 0.347335s (55.89%)
cpython: 0.569272s (100%)
pocketpy: 0.332900s (58.48%)
> benchmarks/loop_2.py
cpython: 0.842779s (100%)
pocketpy: 0.465181s (55.20%)
cpython: 0.826183s (100%)
pocketpy: 0.440160s (53.28%)
> benchmarks/loop_3.py
cpython: 3.069278s (100%)
pocketpy: 1.455937s (47.44%)
cpython: 3.121079s (100%)
pocketpy: 1.390122s (44.54%)
> benchmarks/primes.py
cpython: 6.848963s (100%)
pocketpy: 13.592313s (198.46%)
cpython: 6.705832s (100%)
pocketpy: 5.420015s (80.83%)
> benchmarks/recursive.py
cpython: 0.020444s (100%)
pocketpy: 0.004801s (23.48%)
cpython: 0.019430s (100%)
pocketpy: 0.005298s (27.27%)
> benchmarks/simple.py
cpython: 0.372713s (100%)
pocketpy: 0.273696s (73.43%)
cpython: 0.373461s (100%)
pocketpy: 0.281169s (75.29%)
> benchmarks/sort.py
cpython: 0.324214s (100%)
pocketpy: 0.464951s (143.41%)
cpython: 0.338689s (100%)
pocketpy: 0.287986s (85.03%)
> benchmarks/sum.py
cpython: 0.019418s (100%)
pocketpy: 0.004817s (24.80%)
cpython: 0.019819s (100%)
pocketpy: 0.005130s (25.88%)
ALL TESTS PASSED
```