peace-performance-python
Fast, To calculate star ratings and performance points for all osu! gamemodes
peace-performance (Rust) binding for python based on PyO3.
Cross-platform support.
Faster than oppai-ng, see the benchmark for details.
Note: This library is not currently uploaded to PypI, you may need to download it locally for compilation and then import it in python.
Minimal Examples
from peace_performance_python.prelude import *
beatmap = await Beatmap.create('path_to_osu_file') # Beatmap can be cached and reused!
result = Calculator(acc=98.8, miss=3).calculate(beatmap) # Calculator can also
Full Examples
import asyncio
import sys
# import all
from peace_performance_python.prelude import *
# or
# from peace_performance_python.beatmap import Beatmap
# from peace_performance_python.calculator import Calculator
from tests import join_beatmap, HITORIGOTO
# Initial Rust logger (optional)
set_log_level('trace')
init_logger()
# Choose a style you like
def calculate_1(beatmap: Beatmap) -> CalcResult:
return calculate_pp(beatmap, Calculator({'acc': 98.8, 'miss': 3}))
def calculate_2(beatmap: Beatmap) -> CalcResult:
# --
c = Calculator()
c.set_acc(98.8)
c.set_miss(3)
# or
c.acc = 98.8
c.miss = 3
# or
c.setattr('acc', 98.8)
c.setattr('miss', 3)
return calculate_pp(beatmap, c)
def calculate_3(beatmap: Beatmap) -> CalcResult:
c = Calculator()
c.set_with_dict({'acc': 98.8, 'miss': 3})
return calculate_pp(beatmap, c)
def calculate_4(beatmap: Beatmap) -> CalcResult:
return Calculator({'acc': 98.8, 'miss': 3}).calculate(beatmap)
def calculate_5(beatmap: Beatmap) -> CalcResult:
return Calculator(acc=98.8, miss=3).calculate(beatmap)
async def main():
path = join_beatmap(HITORIGOTO)
# Load beatmap
beatmap = await Beatmap.create(path)
# Calculate pp
result = calculate_5(beatmap)
print('\n***** result:', result)
print('\n***** result.pp:', result.pp)
print('\n***** result as dict:', result.attrs_dict)
print('\n***** result.raw_stars as dict:', result.raw_stars.attrs_dict)
print('\n***** result.raw_pp as dict:', result.raw_pp.attrs_dict)
if __name__ == '__main__':
asyncio.run(main())
Running results
TRACE peace_performance_python::methods::common > function=async_read_file duration=289.1µs
TRACE peace_performance_python::methods::pp > function=async_parse_beatmap duration=414µs
TRACE peace_performance_python::methods::pp > function=calc_with_any_pp duration=99.6µs
TRACE peace_performance_python::objects::calculator > function=calc duration=245.4µs
...
***** result.pp: 152.19204711914062
...
***** result as dict: {
'mode': 0,
'mods': 0,
'pp': 152.19204711914062,
'stars': 5.162832260131836,
'raw_pp': {
'aim': 73.0337905883789,
'spd': 31.048368453979492,
'str': None,
'acc': 45.17241287231445,
'total': 152.19204711914062},
'raw_stars': {
'stars': 5.162832260131836,
'max_combo': 476,
'ar': 9.0,
'n_fruits': None,
'n_droplets': None,
'n_tiny_droplets': None,
'od': 8.5,
'speed_strain': 2.0723509788513184,
'aim_strain': 2.7511043548583984,
'n_circles': 207,
'n_spinners': 1
}
}
...
Building
This package is intended to be built using rust, maturin or setuptools_rust.
1. Install Rust
posix
curl --proto '=https' --tlsv1.2 -sSf https://sh.rustup.rs | sh
windows
https://static.rust-lang.org/rustup/dist/x86_64-pc-windows-msvc/rustup-init.exe
2. Install python dev dependencies
pip install -r requirements-dev.txt
3. Build native python lib
maturin develop --release
OR
python setup.py develop
Compile to .whl to use pip installation
maturin build --release
OR
python setup.py bdist_wheel
install .whl
# maturin build
pip install target/wheels/<name>.whl
# setup.py build
pip install dist/<name>.whl
Run tests and benchmarks
Once built, you can run the tests and benchmakrs using pytest
pytest
or bench and draw a image
pytest --benchmark-histogram
Run examples
python examples.py
Vs Oppai-ng
peace-performance Python bindings vs C89 oppai-ng.
Fast than oppai, the longer the map, the more obvious the advantages of rust.
peace-performance enables the no_sliders_no_leniency feature to be consistent with oppai's algorithm (faster, but loses precision).
If you need maximum precision (osu-performance) rather than performance, use all_included features.
------------------------------------------------------------------------ benchmark 'bench-oppai-vs-rust': 12 tests -------------------------------------------------------------------------
Name (time in ms) Min Max Mean StdDev Median IQR Outliers OPS Rounds Iterations
--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
test_rust_padoru 1.7768 (1.0) 1.9478 (1.0) 1.8508 (1.0) 0.0400 (1.0) 1.8443 (1.0) 0.0535 (1.0) 28;0 540.3156 (1.0) 87 1
test_oppai_padoru 1.8122 (1.02) 9.7861 (5.02) 1.9889 (1.07) 0.5237 (13.08) 1.9249 (1.04) 0.1314 (2.46) 7;8 502.7874 (0.93) 242 1
test_rust_hitorigoto 2.0610 (1.16) 2.5040 (1.29) 2.1910 (1.18) 0.0657 (1.64) 2.1785 (1.18) 0.0694 (1.30) 95;19 456.4104 (0.84) 418 1
test_oppai_hitorigoto 2.5288 (1.42) 3.7520 (1.93) 2.7401 (1.48) 0.1818 (4.54) 2.7067 (1.47) 0.1176 (2.20) 25;17 364.9477 (0.68) 322 1
test_rust_freedom_dive 3.8093 (2.14) 7.3134 (3.75) 3.9828 (2.15) 0.2293 (5.73) 3.9567 (2.15) 0.0845 (1.58) 4;6 251.0782 (0.46) 241 1
test_rust_sotarks 4.4968 (2.53) 5.1071 (2.62) 4.6848 (2.53) 0.0985 (2.46) 4.6712 (2.53) 0.0965 (1.80) 45;13 213.4562 (0.40) 196 1
test_oppai_freedom_dive 5.6872 (3.20) 7.0520 (3.62) 5.9250 (3.20) 0.2010 (5.02) 5.8822 (3.19) 0.1848 (3.46) 17;7 168.7767 (0.31) 159 1
test_oppai_sotarks 6.1222 (3.45) 16.0620 (8.25) 6.4435 (3.48) 0.8114 (20.27) 6.3351 (3.43) 0.1677 (3.14) 3;10 155.1956 (0.29) 152 1
test_rust_galaxy_burst 6.1535 (3.46) 7.3282 (3.76) 6.4249 (3.47) 0.1903 (4.75) 6.3857 (3.46) 0.1377 (2.57) 21;10 155.6452 (0.29) 148 1
test_oppai_galaxy_burst 8.1627 (4.59) 11.3769 (5.84) 8.5283 (4.61) 0.3584 (8.96) 8.4481 (4.58) 0.2359 (4.41) 9;6 117.2565 (0.22) 110 1
test_rust_unforgiving 12.9719 (7.30) 13.9540 (7.16) 13.2572 (7.16) 0.1567 (3.92) 13.2482 (7.18) 0.1395 (2.61) 16;4 75.4307 (0.14) 71 1
test_oppai_unforgiving 22.4598 (12.64) 35.3505 (18.15) 23.6072 (12.76) 2.4802 (61.97) 22.8837 (12.41) 0.4452 (8.32) 3;4 42.3600 (0.08) 44 1
--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
Simple Benchmarks
Native vs wrapped beatmap object 
Read and parsing time spent on beatmap of different sizes (forgiving is a beatmap over 50 minutes long and takes the longest) 
There are also subtle differences in the different calling methods 
MIT
pure-peace
2 Dec 3, 2021
20 Aug 26, 2022
3 Oct 27, 2022
6 Feb 25, 2022
108 Dec 1, 2022
3 Dec 14, 2022
3 Mar 3, 2022
4 Jan 2, 2022
0 Nov 27, 2021
21 Dec 02, 2022
893 Dec 29, 2022
4 Oct 24, 2022
9 Dec 12, 2022
2 Nov 12, 2021
1 Feb 13, 2022
27 Nov 17, 2022
16 Dec 14, 2022
1 Jan 10, 2022
7 Aug 21, 2022
10 Oct 23, 2022
3 Jun 05, 2022
65 Dec 09, 2022
10 Oct 16, 2022
27 Jan 28, 2022
38 Dec 30, 2022
1 Dec 24, 2021
34 Nov 18, 2022
1 Jan 18, 2022
1 Nov 03, 2021