# rosu-pp-py
Library to calculate difficulty and performance attributes for all [osu!] modes.
This is a python binding to the [Rust] library [rosu-pp] which was bootstrapped through [PyO3].
As such, its performance is much faster than a native python library.
## Usage
The library exposes multiple classes:
- [`Beatmap`](https://github.com/MaxOhn/rosu-pp-py/blob/5c7c2f90dd904d01ec163a9a26b2efcb525db13a/rosu_pp_py.pyi#L30-L108): Parsed `.osu` file
- [`GameMode`](https://github.com/MaxOhn/rosu-pp-py/blob/5c7c2f90dd904d01ec163a9a26b2efcb525db13a/rosu_pp_py.pyi#L12-L20)
- Calculators
- [`Difficulty`](https://github.com/MaxOhn/rosu-pp-py/blob/5c7c2f90dd904d01ec163a9a26b2efcb525db13a/rosu_pp_py.pyi#L110-L274): Class to calculate difficulty attributes, strains, or create gradual calculators
- [`Performance`](https://github.com/MaxOhn/rosu-pp-py/blob/5c7c2f90dd904d01ec163a9a26b2efcb525db13a/rosu_pp_py.pyi#L276-L506): Performance attributes calculator
- [`GradualDifficulty`](https://github.com/MaxOhn/rosu-pp-py/blob/5c7c2f90dd904d01ec163a9a26b2efcb525db13a/rosu_pp_py.pyi#L508-L532): Calculator to calculate difficulty attributes after each hitobject
- [`GradualPerformance`](https://github.com/MaxOhn/rosu-pp-py/blob/5c7c2f90dd904d01ec163a9a26b2efcb525db13a/rosu_pp_py.pyi#L534-L560): Calculator to calculator performance attributes after each hitresult
- [`BeatmapAttributesBuilder`](https://github.com/MaxOhn/rosu-pp-py/blob/5c7c2f90dd904d01ec163a9a26b2efcb525db13a/rosu_pp_py.pyi#L562-L693): Beatmap attributes calculator
- Results
- [`DifficultyAttributes`](https://github.com/MaxOhn/rosu-pp-py/blob/5c7c2f90dd904d01ec163a9a26b2efcb525db13a/rosu_pp_py.pyi#L769-L1011)
- [`Strains`](https://github.com/MaxOhn/rosu-pp-py/blob/5c7c2f90dd904d01ec163a9a26b2efcb525db13a/rosu_pp_py.pyi#L1094-L1170): Strain values of a difficulty calculation, suitable to plot difficulty over time
- [`PerformanceAttributes`](https://github.com/MaxOhn/rosu-pp-py/blob/5c7c2f90dd904d01ec163a9a26b2efcb525db13a/rosu_pp_py.pyi#L1013-L1092)
- [`BeatmapAttributes`](https://github.com/MaxOhn/rosu-pp-py/blob/5c7c2f90dd904d01ec163a9a26b2efcb525db13a/rosu_pp_py.pyi#L1172-L1210)
- [`HitResultPriority`](https://github.com/MaxOhn/rosu-pp-py/blob/5c7c2f90dd904d01ec163a9a26b2efcb525db13a/rosu_pp_py.pyi#L22-L28): Passed to `Performance`, decides whether specified accuracy should be realized through good or bad hitresults
- [`ScoreState`](https://github.com/MaxOhn/rosu-pp-py/blob/5c7c2f90dd904d01ec163a9a26b2efcb525db13a/rosu_pp_py.pyi#L695-L767): Hitresults and max combo of a score, found in `PerformanceAttributes` and passed to gradual calculators
## Example
### Calculating performance
```py
import rosu_pp_py as rosu
# either `path`, `bytes`, or `content` must be specified when parsing a map
map = rosu.Beatmap(path = "/path/to/file.osu")
# Optionally convert to a specific mode for optionally given mods
map.convert(rosu.GameMode.Mania, "6K")
perf = rosu.Performance(
# various kwargs available
accuracy = 98.76,
misses = 2,
combo = 700,
hitresult_priority = rosu.HitResultPriority.WorstCase, # favors bad hitresults
)
# Each kwarg can also be specified afterwards through setters
perf.set_accuracy(99.11) # override previously specified accuracy
perf.set_mods(8 + 64) # HDDT
perf.set_clock_rate(1.4)
# Second argument of map attributes specifies whether mods still need to be accounted for
# `True`: mods already considered; `False`: value should still be adjusted
perf.set_ar(10.5, True)
perf.set_od(5, False)
# Calculate for the map
attrs = perf.calculate(map)
# Note that calculating via map will have to calculate difficulty attributes
# internally which is fairly expensive. To speed it up, you can also pass in
# previously calculated attributes, but be sure they were calculated for the
# same difficulty settings like mods, clock rate, custom map attributes, ...
perf.set_accuracy(100)
perf.set_misses(None)
perf.set_combo(None)
# Calculate a new set of attributes by re-using previous attributes instead of the map
max_attrs = perf.calculate(attrs)
print(f'PP: {attrs.pp}/{max_attrs.pp} | Stars: {max_attrs.difficulty.stars}')
```
### Gradual calculation
```py
import rosu_pp_py as rosu
# Parsing the map, this time through the `content` kwarg
with open("/path/to/file.osu") as file:
map = rosu.Beatmap(content = file.read())
# Specifying some difficulty parameters
diff = rosu.Difficulty(
mods = 16 + 1024, # HRFL
clock_rate = 1.1,
ar = 10.2,
ar_with_mods = True,
)
# Gradually calculating *difficulty* attributes
gradual_diff = diff.gradual_difficulty(map)
for i, attrs in enumerate(gradual_diff, 1):
print(f'Stars after {i} hitobjects: {attrs.stars}')
# Gradually calculating *performance* attributes
gradual_perf = diff.gradual_performance(map)
i = 1
while True:
state = rosu.ScoreState(
max_combo = i,
n300 = i,
n100 = 0,
# ...
)
attrs = gradual_perf.next(state)
if attrs is None:
# All hitobjects have been processed
break
print(f'PP: {attrs.pp}')
i += 1
```
## Mods
Wherever mods are specified, their type should coincide with the following alias definition:
```py
GameMods = Union[int, str, GameMod, List[Union[GameMod, str, int]]]
GameMod = dict[str, Union[str, GameModSettings]]
GameModSettings = dict[str, Union[bool, float, str]]
```
That means, mods can be given either through their [(legacy) bitflags](https://github.com/ppy/osu-api/wiki#reference),
a string for acronyms, a "GameMod" `dict`, or a sequence whose items are either
a "GameMod" `dict`, a single acronym string, or bitflags for a single mod.
A "GameMod" `dict` **must** have the item `'acronym': str` and an optional item `'settings': GameModSettings`.
Some examples for valid mods look as follows:
```py
mods = 8 + 64 # Hidden, DoubleTime
mods = "hRNcWIez" # HardRock, Nightcore, Wiggle, Easy
mods = { 'acronym': "FI" } # FadeIn
mods = [
1024,
'nf',
{
'acronym': "AC",
'settings': {
'minimum_accuracy': 95,
'restart': True
}
}
] # Flashlight, NoFail, AccuracyChallenge
import json
mods_json = '[{"acronym": "TC"}, {"acronym": "HT", "settings": {"speed_change": 0.6}}]'
mods = json.loads(mods_json) # Traceable, HalfTime
```
## Installing rosu-pp-py
Installing rosu-pp-py requires a [supported version of Python and Rust](https://github.com/PyO3/PyO3#usage).
If a [pre-built wheel](https://pypi.org/project/rosu-pp-py/#files) is available for your architecture, you can even skip the Rust part.
Once [Python] and (optionally) [Rust](https://www.rust-lang.org/learn/get-started) are ready to go, you can install the project with pip:
```sh
$ pip install rosu-pp-py
```
or
```
$ pip install git+https://github.com/MaxOhn/rosu-pp-py
```
## Learn More
- [rosu-pp]
- [Rust]
- [PyO3]
[osu!]: https://osu.ppy.sh/home
[Rust]: https://www.rust-lang.org
[rosu-pp]: https://github.com/MaxOhn/rosu-pp
[PyO3]: https://github.com/PyO3/pyo3
[Python]: https://www.python.org/downloads/
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"description": "# rosu-pp-py\n\nLibrary to calculate difficulty and performance attributes for all [osu!] modes.\n\nThis is a python binding to the [Rust] library [rosu-pp] which was bootstrapped through [PyO3].\nAs such, its performance is much faster than a native python library.\n\n## Usage\n\nThe library exposes multiple classes:\n- [`Beatmap`](https://github.com/MaxOhn/rosu-pp-py/blob/5c7c2f90dd904d01ec163a9a26b2efcb525db13a/rosu_pp_py.pyi#L30-L108): Parsed `.osu` file\n- [`GameMode`](https://github.com/MaxOhn/rosu-pp-py/blob/5c7c2f90dd904d01ec163a9a26b2efcb525db13a/rosu_pp_py.pyi#L12-L20)\n- Calculators\n - [`Difficulty`](https://github.com/MaxOhn/rosu-pp-py/blob/5c7c2f90dd904d01ec163a9a26b2efcb525db13a/rosu_pp_py.pyi#L110-L274): Class to calculate difficulty attributes, strains, or create gradual calculators\n - [`Performance`](https://github.com/MaxOhn/rosu-pp-py/blob/5c7c2f90dd904d01ec163a9a26b2efcb525db13a/rosu_pp_py.pyi#L276-L506): Performance attributes calculator\n - [`GradualDifficulty`](https://github.com/MaxOhn/rosu-pp-py/blob/5c7c2f90dd904d01ec163a9a26b2efcb525db13a/rosu_pp_py.pyi#L508-L532): Calculator to calculate difficulty attributes after each hitobject\n - [`GradualPerformance`](https://github.com/MaxOhn/rosu-pp-py/blob/5c7c2f90dd904d01ec163a9a26b2efcb525db13a/rosu_pp_py.pyi#L534-L560): Calculator to calculator performance attributes after each hitresult\n - [`BeatmapAttributesBuilder`](https://github.com/MaxOhn/rosu-pp-py/blob/5c7c2f90dd904d01ec163a9a26b2efcb525db13a/rosu_pp_py.pyi#L562-L693): Beatmap attributes calculator\n- Results\n - [`DifficultyAttributes`](https://github.com/MaxOhn/rosu-pp-py/blob/5c7c2f90dd904d01ec163a9a26b2efcb525db13a/rosu_pp_py.pyi#L769-L1011)\n - [`Strains`](https://github.com/MaxOhn/rosu-pp-py/blob/5c7c2f90dd904d01ec163a9a26b2efcb525db13a/rosu_pp_py.pyi#L1094-L1170): Strain values of a difficulty calculation, suitable to plot difficulty over time\n - [`PerformanceAttributes`](https://github.com/MaxOhn/rosu-pp-py/blob/5c7c2f90dd904d01ec163a9a26b2efcb525db13a/rosu_pp_py.pyi#L1013-L1092)\n - [`BeatmapAttributes`](https://github.com/MaxOhn/rosu-pp-py/blob/5c7c2f90dd904d01ec163a9a26b2efcb525db13a/rosu_pp_py.pyi#L1172-L1210)\n- [`HitResultPriority`](https://github.com/MaxOhn/rosu-pp-py/blob/5c7c2f90dd904d01ec163a9a26b2efcb525db13a/rosu_pp_py.pyi#L22-L28): Passed to `Performance`, decides whether specified accuracy should be realized through good or bad hitresults\n- [`ScoreState`](https://github.com/MaxOhn/rosu-pp-py/blob/5c7c2f90dd904d01ec163a9a26b2efcb525db13a/rosu_pp_py.pyi#L695-L767): Hitresults and max combo of a score, found in `PerformanceAttributes` and passed to gradual calculators\n\n## Example\n\n### Calculating performance\n\n```py\nimport rosu_pp_py as rosu\n\n# either `path`, `bytes`, or `content` must be specified when parsing a map\nmap = rosu.Beatmap(path = \"/path/to/file.osu\")\n\n# Optionally convert to a specific mode for optionally given mods\nmap.convert(rosu.GameMode.Mania, \"6K\")\n\nperf = rosu.Performance(\n # various kwargs available\n accuracy = 98.76,\n misses = 2,\n combo = 700,\n hitresult_priority = rosu.HitResultPriority.WorstCase, # favors bad hitresults\n)\n\n# Each kwarg can also be specified afterwards through setters\nperf.set_accuracy(99.11) # override previously specified accuracy\nperf.set_mods(8 + 64) # HDDT\nperf.set_clock_rate(1.4)\n\n# Second argument of map attributes specifies whether mods still need to be accounted for\n# `True`: mods already considered; `False`: value should still be adjusted\nperf.set_ar(10.5, True)\nperf.set_od(5, False)\n\n# Calculate for the map\nattrs = perf.calculate(map)\n\n# Note that calculating via map will have to calculate difficulty attributes\n# internally which is fairly expensive. To speed it up, you can also pass in\n# previously calculated attributes, but be sure they were calculated for the\n# same difficulty settings like mods, clock rate, custom map attributes, ...\n\nperf.set_accuracy(100)\nperf.set_misses(None)\nperf.set_combo(None)\n\n# Calculate a new set of attributes by re-using previous attributes instead of the map\nmax_attrs = perf.calculate(attrs)\n\nprint(f'PP: {attrs.pp}/{max_attrs.pp} | Stars: {max_attrs.difficulty.stars}')\n```\n\n### Gradual calculation\n\n```py\nimport rosu_pp_py as rosu\n\n# Parsing the map, this time through the `content` kwarg\nwith open(\"/path/to/file.osu\") as file:\n map = rosu.Beatmap(content = file.read())\n\n# Specifying some difficulty parameters\ndiff = rosu.Difficulty(\n mods = 16 + 1024, # HRFL\n clock_rate = 1.1,\n ar = 10.2,\n ar_with_mods = True,\n)\n\n# Gradually calculating *difficulty* attributes\ngradual_diff = diff.gradual_difficulty(map)\n\nfor i, attrs in enumerate(gradual_diff, 1):\n print(f'Stars after {i} hitobjects: {attrs.stars}')\n\n# Gradually calculating *performance* attributes\ngradual_perf = diff.gradual_performance(map)\ni = 1\n\nwhile True:\n state = rosu.ScoreState(\n max_combo = i,\n n300 = i,\n n100 = 0,\n # ...\n )\n\n attrs = gradual_perf.next(state)\n\n if attrs is None:\n # All hitobjects have been processed\n break\n\n print(f'PP: {attrs.pp}')\n i += 1\n```\n\n## Mods\n\nWherever mods are specified, their type should coincide with the following alias definition:\n```py\nGameMods = Union[int, str, GameMod, List[Union[GameMod, str, int]]]\nGameMod = dict[str, Union[str, GameModSettings]]\nGameModSettings = dict[str, Union[bool, float, str]]\n```\n\nThat means, mods can be given either through their [(legacy) bitflags](https://github.com/ppy/osu-api/wiki#reference),\na string for acronyms, a \"GameMod\" `dict`, or a sequence whose items are either\na \"GameMod\" `dict`, a single acronym string, or bitflags for a single mod.\n\nA \"GameMod\" `dict` **must** have the item `'acronym': str` and an optional item `'settings': GameModSettings`.\n\nSome examples for valid mods look as follows:\n\n```py\nmods = 8 + 64 # Hidden, DoubleTime\nmods = \"hRNcWIez\" # HardRock, Nightcore, Wiggle, Easy\nmods = { 'acronym': \"FI\" } # FadeIn\nmods = [\n 1024,\n 'nf',\n {\n 'acronym': \"AC\",\n 'settings': {\n 'minimum_accuracy': 95,\n 'restart': True\n }\n }\n] # Flashlight, NoFail, AccuracyChallenge\n\nimport json\nmods_json = '[{\"acronym\": \"TC\"}, {\"acronym\": \"HT\", \"settings\": {\"speed_change\": 0.6}}]'\nmods = json.loads(mods_json) # Traceable, HalfTime\n```\n\n## Installing rosu-pp-py\n\nInstalling rosu-pp-py requires a [supported version of Python and Rust](https://github.com/PyO3/PyO3#usage).\n\nIf a [pre-built wheel](https://pypi.org/project/rosu-pp-py/#files) is available for your architecture, you can even skip the Rust part.\n\nOnce [Python] and (optionally) [Rust](https://www.rust-lang.org/learn/get-started) are ready to go, you can install the project with pip:\n\n```sh\n$ pip install rosu-pp-py\n```\n\nor\n\n```\n$ pip install git+https://github.com/MaxOhn/rosu-pp-py\n```\n\n## Learn More\n- [rosu-pp]\n- [Rust]\n- [PyO3]\n\n[osu!]: https://osu.ppy.sh/home\n[Rust]: https://www.rust-lang.org\n[rosu-pp]: https://github.com/MaxOhn/rosu-pp\n[PyO3]: https://github.com/PyO3/pyo3\n[Python]: https://www.python.org/downloads/\n",
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