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Update performance.md

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blueloveTH 2023-10-14 01:26:16 +08:00
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@ -9,42 +9,45 @@ label: Performance
Currently, pkpy is as fast as cpython 3.8.
**Performance results for cpython 3.8 are applicable to for pkpy.**
Here is a benchmark result of `v1.0.0`.
Here is a benchmark result of `v1.2.6`.
Files are located in `benchmarks/`.
```
Run python3 scripts/run_tests.py benchmark
CPython: 3.8.10 (default, May 26 2023, 14:05:08) [GCC 9.4.0]
System: 64-bit
Testing directory: benchmarks/
> benchmarks/fib.py
cpython: 0.695462s (100%)
pocketpy: 0.606675s (87.23%)
cpython: 0.739547s (100%)
pocketpy: 0.613591s (82.97%)
> benchmarks/loop_0.py
cpython: 0.315025s (100%)
pocketpy: 0.177018s (56.19%)
cpython: 0.356003s (100%)
pocketpy: 0.224396s (63.03%)
> benchmarks/loop_1.py
cpython: 0.568521s (100%)
pocketpy: 0.319714s (56.24%)
cpython: 0.661924s (100%)
pocketpy: 0.446577s (67.47%)
> benchmarks/loop_2.py
cpython: 0.802686s (100%)
pocketpy: 0.426311s (53.11%)
cpython: 0.937243s (100%)
pocketpy: 0.514324s (54.88%)
> benchmarks/loop_3.py
cpython: 3.040100s (100%)
pocketpy: 1.748905s (57.53%)
cpython: 3.671752s (100%)
pocketpy: 1.876151s (51.10%)
> benchmarks/primes.py
cpython: 6.566063s (100%)
pocketpy: 5.314596s (80.94%)
cpython: 7.293947s (100%)
pocketpy: 5.427518s (74.41%)
> benchmarks/recursive.py
cpython: 0.020200s (100%)
pocketpy: 0.004595s (22.75%)
cpython: 0.021559s (100%)
pocketpy: 0.010227s (47.44%)
> benchmarks/simple.py
cpython: 0.375262s (100%)
pocketpy: 0.283474s (75.54%)
cpython: 0.408654s (100%)
pocketpy: 0.265084s (64.87%)
> benchmarks/sort.py
cpython: 0.327771s (100%)
pocketpy: 0.242722s (74.05%)
cpython: 0.372539s (100%)
pocketpy: 0.243566s (65.38%)
> benchmarks/sum.py
cpython: 0.020165s (100%)
pocketpy: 0.004495s (22.29%)
cpython: 0.021242s (100%)
pocketpy: 0.010113s (47.61%)
ALL TESTS PASSED
```
See [actions/runs](https://github.com/blueloveTH/pocketpy/actions/runs/5113363233/jobs/9192476164).
See [actions/runs](https://github.com/blueloveTH/pocketpy/actions/runs/6511071423/job/17686074263).