A wrapper around NumPy and other array libraries to make them compatible with the Array API standard

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  • License Expression: MIT
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  • Author: Consortium for Python Data API Standards
  • Requires: Python >=3.10
  • Provides-Extra: cupy, dask, jax, numpy, pytorch, sparse, ndonnx, docs, dev
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Array API compatibility library

This is a small wrapper around common array libraries that is compatible with the Array API standard. 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.

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

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Avatar for Aaron.Meurer from gravatar.com Aaron.Meurer Avatar for ev-br from gravatar.com ev-br Avatar for rgommers from gravatar.com rgommers

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  • License Expression: MIT
    SPDX License Expression
  • Author: Consortium for Python Data API Standards
  • Requires: Python >=3.10
  • Provides-Extra: cupy, dask, jax, numpy, pytorch, sparse, ndonnx, docs, dev
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