Arranges a set of songs in groups with similar total play time.
Project description
arrangio
Arranges a set of songs in groups with similar total play time.
Synopsis
This tool will try to arrange a set of songs into subsets of songs (groups) whose total play time will be the most sililar possible.
Prerequisites
Python, version 3.8 or above, needs to be installed on your local computer.
Python 3.x
Python version 3.8 or above is required for the tool to work. Python setup can be found here.
Installation
The simplest way to install this tool is using pip:
pip3 install arrangio
Usage
A simple example of how to use this tool:
arrangio --groups 2 --song song01:3m24s --song song02:4m01s --song song03:1m47s
List of all the options:
usage: arrangio [-h] [-g [NUM]] [-q] -s LABEL:HHhMMmSSs [LABEL:HHhMMmSSs ...] [-v]
options:
-h, --help show this help message and exit
-g [NUM], --groups [NUM]
number of groups to create (default: 2)
-q, --quiet quiet mode (default: False)
-s LABEL:HHhMMmSSs [LABEL:HHhMMmSSs ...], --song LABEL:HHhMMmSSs [LABEL:HHhMMmSSs ...]
song information (e.g.: song01:00h03m27s) (default: None)
-v, --version show program's version number and exit
Build (from source)
just is used to automate several steps of the development process.
All of the commands described bellow are to be executed on the root folder of this project.
A development environment can be created using the following command:
just init
To build a Python package for this library use the following command:
just build
After this you should have a wheel file (*.whl
) inside a folder called
dist
.
The library can be install using the wheel file and pip3:
pip3 --quiet install dist/arrangio-*.whl
Contributing
- Fork it!
- Create your feature branch:
git checkout -b my-new-feature
- Commit your changes:
git commit -am 'Add some feature'
- Push to the branch:
git push origin my-new-feature
- Submit a pull request
Please read the CONTRIBUTING.md file for more details on how to contribute to this project.
Versioning
This project uses SemVer for versioning. For the versions available, see the tags on this repository.
Authors
- Frederico Martins - fscm
See also the list of contributors who participated in this project.
License
This project is licensed under the MIT License - see the LICENSE file for details
Project details
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