Metadata-Version: 2.1
Name: array_api_compat
Version: 1.9
Summary: A wrapper around NumPy and other array libraries to make them compatible with the Array API standard
Home-page: https://data-apis.org/array-api-compat/
Author: Consortium for Python Data API Standards
License: MIT
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Description-Content-Type: text/markdown
License-File: LICENSE
Provides-Extra: numpy
Requires-Dist: numpy; extra == "numpy"
Provides-Extra: cupy
Requires-Dist: cupy; extra == "cupy"
Provides-Extra: jax
Requires-Dist: jax; extra == "jax"
Provides-Extra: pytorch
Requires-Dist: pytorch; extra == "pytorch"
Provides-Extra: dask
Requires-Dist: dask; extra == "dask"
Provides-Extra: sparse
Requires-Dist: sparse>=0.15.1; extra == "sparse"

# Array API compatibility library

This is a small wrapper around common array libraries that is compatible with
the [Array API standard](https://data-apis.org/array-api/latest/). Currently,
NumPy, CuPy, PyTorch, Dask, JAX, ndonnx and `sparse` are supported. If you want
support for other array libraries, or if you encounter any issues, please [open
an issue](https://github.com/data-apis/array-api-compat/issues).

See the documentation for more details https://data-apis.org/array-api-compat/
