reamber 0.0.14

Vertical Scrolling Rhythm Game Package

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

For Developers

Note that reamber is still in alpha stage, means a lot of things aren't settled down yet. That means that a lot of function names and references will change without notice.

It is recommended to only build scratch/temp files if you want to utilize this library

Wiki

Visit the wiki for more info

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:

1. Installing pip
2. 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.OsuMapObj import OsuMapObj

m = OsuMapObj()
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.QuaMapObj import QuaMapObj

m = QuaMapObj()
m.readFile("map.qua")
print(m.svs.multipliers())

Create a PlayField Image with various elements

from reamber.osu.OsuMapObj import OsuMapObj
from reamber.algorithms.analysis.playField import PlayField
from reamber.algorithms.analysis.playField.parts import *

def test_osu(self):
    m = OsuMapObj()
    m.readFile("file.osu")
    pf = PlayField(m, padding=70)\
         + PFDrawColumnLines()\
         + PFDrawBeatLines()\
         + PFDrawBpm(xOffset=30, yOffset=0)\
         + PFDrawSv(yOffset=0)\
         + PFDrawNotes()
    pf.exportFold(maxHeight=1000).save("osu.png")