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    "info": {
        "author": "Carl Thom\u00e9",
        "author_email": "carlthome@gmail.com",
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        "classifiers": [
            "Development Status :: 3 - Alpha",
            "Intended Audience :: Developers",
            "License :: OSI Approved :: MIT License",
            "Programming Language :: Python :: 2",
            "Programming Language :: Python :: 2.7",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.7",
            "Topic :: Multimedia :: Sound/Audio"
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        "description": "# pysndfx\n[![Build Status](https://travis-ci.org/carlthome/python-audio-effects.svg?branch=master)](https://travis-ci.org/carlthome/python-audio-effects) [![PyPI](https://img.shields.io/pypi/v/pysndfx.svg)](https://pypi.python.org/pypi/pysndfx) [![PyPI](https://img.shields.io/pypi/pyversions/pysndfx.svg)](http://py3readiness.org/) [![license](https://img.shields.io/github/license/mashape/apistatus.svg)](LICENSE)\n\n**Apply audio effects such as reverb and EQ directly to audio files or NumPy ndarrays.**\n\nThis is a lightweight Python wrapper for SoX, the Swiss Army knife of sound processing programs. Supported effects range from EQ and compression to phasers, reverb and pitch shifters.\n\n## Install\nInstall with pip as:\n```sh\npip install pysndfx\n```\nThe system must also have [SoX](http://sox.sourceforge.net/) installed (for Debian-based operating systems: `apt install sox`, or with Anaconda as `conda install -c conda-forge sox`)\n\n## Usage\nFirst create an audio effects chain.\n```python\n# Import the package and create an audio effects chain function.\nfrom pysndfx import AudioEffectsChain\n\nfx = (\n    AudioEffectsChain()\n    .highshelf()\n    .reverb()\n    .phaser()\n    .delay()\n    .lowshelf()\n)\n```\nThen we can call the effects chain object with paths to audio files, or directly with NumPy ndarrays.\n```python\ninfile = 'my_audio_file.wav'\noutfile = 'my_processed_audio_file.ogg'\n\n# Apply phaser and reverb directly to an audio file.\nfx(infile, outfile)\n\n# Or, apply the effects directly to a ndarray.\nfrom librosa import load\ny, sr = load(infile, sr=None)\ny = fx(y)\n\n# Apply the effects and return the results as a ndarray.\ny = fx(infile)\n\n# Apply the effects to a ndarray but store the resulting audio to disk.\nfx(x, outfile)\n```\nThere's also experimental streaming support. Try applying reverb to a microphone input and listening to the results live like this:\n```sh\npython -c \"from pysndfx import AudioEffectsChain; AudioEffectsChain().reverb()(None, None)\"\n```",
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