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Description:

rinapppyb 1.0.4

rina-pp-pyb
Library to calculate difficulty and performance attributes for all osu! modes.
This is a python binding to the Rust library rina-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: Parsed .osu file
GameMode
Calculators

Difficulty: Class to calculate difficulty attributes, strains, or create gradual calculators
Performance: Performance attributes calculator
GradualDifficulty: Calculator to calculate difficulty attributes after each hitobject
GradualPerformance: Calculator to calculator performance attributes after each hitresult
BeatmapAttributesBuilder: Beatmap attributes calculator

Results

DifficultyAttributes
Strains: Strain values of a difficulty calculation, suitable to plot difficulty over time
PerformanceAttributes
BeatmapAttributes

HitResultPriority: Passed to Performance, decides whether specified accuracy should be realized through good or bad hitresults
ScoreState: Hitresults and max combo of a score, found in PerformanceAttributes and passed to gradual calculators

Example
Calculating performance
import rina_pp_pyb 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
map.convert(rosu.GameMode.Mania)

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
import rina_pp_pyb 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

Installing rina-pp-pyb
Installing rina-pp-pyb requires a supported version of Python and Rust.
Once Python and Rust are ready to go, you can install the project with pip:
$ pip install rina-pp-pyb

or
$ pip install git+https://github.com/osuthailand/rina-pp-pyb

Learn More

rina-pp
Rust
PyO3