wavpack-numcodecs 0.2.0

Numcodecs implementation of WavPack audio codec.

WavPack - numcodecs implementation

Numcodecs wrapper to the WavPack audio codec.

This implementation enables one to use WavPack as a compressor in Zarr.

Requirements

To install wavpack-numcodecs on MacOS, you need to install wavpack with brew:

brew install wavpack

For Linux and Windows, the package comes with pre-built binaries of the most recent version Wavpack version.

On Linux, if an existing wavpack installation is found, the package will use it. Otherwise, it will use the pre-built binaries available in the wavpack_numcodecs/libraries folder.

Installation

Install via pip:

pip install wavpack-numcodecs

Or from sources:

git clone https://github.com/AllenNeuralDynamics/wavpack-numcodecs.git
cd wavpack_numcodecs
pip install .

Usage

This is a simple example on how to use the WavPackCodec with zarr:

from wavpack_numcodecs import WavPack

data = ... # any numpy array

# instantiate WavPack compressor
wv_compressor = WavPack(level=2, bps=None)

z = zarr.array(data, compressor=wv_compressor)

data_read = z[:]

Available **kwargs can be browsed with: WavPack?

NOTE: In order to reload in zarr an array saved with the WavPack, you just need to have the wavpack_numcodecs package installed.

Developmers guide

How to upgrade WavPack installation

To upgrade the WavPack installation, you need to:

1. Download the latest version of WavPack from the official website.
2. Extract the content of the downloaded file.
3. Create a new folder in the src/wavpack_numcodecs/libraries folder with the name of the version of the WavPack you are installing.
4. Add the Windows .dll and .lib files to the windows-x86_32 and windows-x86_64 folders, respectievely.
5. Build the Linux shared library and copy the .so file to the linux-x86_64 folder.
6. Set the LATET_WAVPACK_VERSION variable in the setup.py to match the version of the WavPack you are installing.
7. Update the version of the CI workflows in the .github/workflows/ folder.