{
    "info": {
        "author": "Mart\u00edn Rocamora",
        "author_email": "rocamora@fing.edu.uy",
        "bugtrack_url": null,
        "classifiers": [
            "License :: OSI Approved :: MIT License",
            "Operating System :: OS Independent",
            "Programming Language :: Python :: 3"
        ],
        "description": "carat\n=====\n<pre>\n _  _  __ _ _|_\n(_ (_| | (_| |_   computer-aided rhythm analysis toolbox\n</pre>\n\n\n[![PyPI](https://img.shields.io/pypi/v/carat.svg)](https://pypi.python.org/pypi/carat)\n[![License](https://img.shields.io/github/license/mrocamora/carat.svg)](https://github.com/mrocamora/carat/blob/master/LICENSE.md)\n\n\nDocumentation\n-------------\nSee [https://carat.readthedocs.io](https://carat.readthedocs.io/en/latest/) for a complete reference manual and introductory tutorials.\n\n\nDemonstration notebooks\n-----------------------\nSome demonstrations of what you can do with carat:\n\n* [Rhythmic patterns demo notebook](http://nbviewer.ipython.org/github/mrocamora/carat/blob/master/examples/carat_rhythmic_patterns_demo.ipynb): how to extract rhythmic patterns from an audio recording.\n\n\nInstallation\n------------\n\nThe latest stable release is available on PyPI, and you can install it by\n```\npip install carat\n```\n\nTo build carat from source, use `python setup.py build`.\nThen, to install carat, say `python setup.py install`.\nIf all went well, you should be able to execute the demo scripts under `examples/`\n(OS X users should follow the installation guide given below).\n\nAlternatively, you can download or clone the repository and use `pip` to handle dependencies:\n\n```\nunzip carat.zip\npip install -e carat\n```\nor\n```\ngit clone https://github.com/mrocamora/carat.git\npip install -e carat\n```\n\nBy calling `pip list` you should see `carat` now as an installed pacakge:\n```\ncarat (0.x.x, /path/to/carat)\n```\n\n### Hints for the Installation\n\n`carat` uses `librosa` to load audio files. The following are the installation hints provided by librosa in order to install the needed dependencies to load audio files. \n\n`librosa` uses `soundfile` and `audioread` to load audio files.\nNote that `soundfile` does not currently support MP3, which will cause librosa to\nfall back on the `audioread` library.\n\n#### soundfile\n\nIf you're using `pip` on a Linux environment, you may need to install `libsndfile`\nmanually.  Please refer to the [SoundFile installation documentation](https://pysoundfile.readthedocs.io/#installation) for details.\n\n#### audioread and MP3 support\n\nTo fuel `audioread` with more audio-decoding power (e.g., for reading MP3 files),\nyou may need to install either *ffmpeg* or *GStreamer*.\n\n*Note that on some platforms, `audioread` needs at least one of the programs to work properly.*\n\nHere are some common commands for different operating systems:\n\n* Linux (apt-get): `apt-get install ffmpeg` or `apt-get install gstreamer1.0-plugins-base gstreamer1.0-plugins-ugly`\n* Linux (yum): `yum install ffmpeg` or `yum install gstreamer1.0-plugins-base gstreamer1.0-plugins-ugly`\n* Mac: `brew install ffmpeg` or `brew install gstreamer`\n* Windows: download binaries from the website\n\nFor GStreamer, you also need to install the Python bindings with\n```\npip install pygobject\n```\n\nCiting\n------\n\nIf you want to cite carat please cite the paper published at AAWM 2019:\n\n    Rocamora, and Jure. \"carat: Computer-Aided Rhythmic Analysis Toolbox.\" In Proceedings of Analytical Approaches to World Music. 2019.\n\n\n",
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