Metadata-Version: 2.1
Name: resampy
Version: 0.4.3
Summary: Efficient signal resampling
Home-page: https://github.com/bmcfee/resampy
Download-URL: https://github.com/bmcfee/resampy/releases
Author: Brian McFee
Author-email: brian.mcfee@nyu.edu
License: ISC
Classifier: License :: OSI Approved :: ISC License (ISCL)
Classifier: Programming Language :: Python
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: Topic :: Multimedia :: Sound/Audio :: Analysis
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Description-Content-Type: text/markdown; charset=UTF-8
License-File: LICENSE.md
Requires-Dist: numpy >=1.17
Requires-Dist: numba >=0.53
Requires-Dist: importlib-resources ; python_version < "3.9"
Provides-Extra: design
Requires-Dist: optuna >=2.10.0 ; extra == 'design'
Provides-Extra: docs
Requires-Dist: numpydoc ; extra == 'docs'
Requires-Dist: sphinx !=1.3.1 ; extra == 'docs'
Provides-Extra: tests
Requires-Dist: pytest <8 ; extra == 'tests'
Requires-Dist: pytest-cov ; extra == 'tests'
Requires-Dist: scipy >=1.1 ; extra == 'tests'

# resampy
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[![Documentation Status](https://readthedocs.org/projects/resampy/badge/?version=stable)](https://resampy.readthedocs.io/en/stable/?badge=stable)
[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.596633.svg)](https://doi.org/10.5281/zenodo.596633)

Efficient sample rate conversion in Python.

This package implements the band-limited sinc interpolation method for sampling rate conversion as described by:
> Smith, Julius O. Digital Audio Resampling Home Page
> Center for Computer Research in Music and Acoustics (CCRMA), 
> Stanford University, 2015-02-23.
> Web published at [http://ccrma.stanford.edu/~jos/resample/](http://ccrma.stanford.edu/~jos/resample/).


# Installation

`resampy` can be installed `pip` by the following command:
```
python -m pip install resampy
```

It can also be installed by `conda` as follows:
```
conda install -c conda-forge resampy
```