Vertical Scrolling Rhythm Game Package
Project description
Reamber (Py)
pip install reamber
This is a simple package to handle VSRG file, useful if you'd want to manipulate data such as offset, column, bpm, etc.
This doesn't provide complex algorithms, only the base dataclasses and helpful basic algorithms
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Info
Motivation
A growing amount of osu!mania players are becoming interested in programming. The best way to learn is to relate it to something that you're familiar with. That's why I'm making a library for most common VSRG (Vertical Scrolling Rhythm Game) types.
WIIFY (What's in it for you)
Picking it up
Everything is in Python
, a very easy to pick up language. Installing it is as easy as:
- Installing
pip
- Run
pip install reamber
Easy Typing
The library heavily focuses on Typing
for explicit returns and arguments.
This is at an expense of slower processing speed.
I recommend using PyCharm
or any other python editor that supports hinting.
Hinting is where the editor hints you available functions, variables, etc.
Piping
Inspired by R Lang
%>%
operator.
Piping is the act of chaining multiple functions together.
# Grabbing the notes in between 1s and 2s in columns 1 and 3
# Without Piping
Notes(Notes(notes.after(1000)).before(2000)).inColumns([1, 3])
# With Piping
notes.after(1000).before(2000).inColumns([1, 3]).data()
This library supports it, to retrieve the list, just call .data()
List, Pandas Support
This library also supports exporting multiple classes as a list
or pandas.DataFrame
via .data()
and .df()
respectively.
So you don't need to feel limited to just the current interfaces.
Examples
Load in a osu! map
Grab the sorted holds in columns 1 & 2 in between 1s and 2s as a list
from reamber.osu.OsuMapObject import OsuMapObject
m = OsuMapObject()
m.readFile("map.osu")
print(m.notes.holds.sorted().inColumns([1, 2]).between(1000, 2000, includeEnds=False).data())
Load in a Quaver map
Grab the SV multiplier values as a list
from reamber.quaver.QuaMapObject import QuaMapObject
m = QuaMapObject()
m.readFile("map.qua")
print(m.svs.multipliers())
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