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/

Name		Name	Last commit message	Last commit date
Latest commit History 1,048 Commits
.github		.github
array_api_compat		array_api_compat
docs		docs
tests		tests
vendor_test		vendor_test
.gitignore		.gitignore
CHANGELOG.md		CHANGELOG.md
CONTRIBUTING.md		CONTRIBUTING.md
LICENSE		LICENSE
README.md		README.md
cupy-xfails.txt		cupy-xfails.txt
dask-skips.txt		dask-sk 8000 ips.txt
dask-xfails.txt		dask-xfails.txt
numpy-1-22-xfails.txt		numpy-1-22-xfails.txt
numpy-1-26-xfails.txt		numpy-1-26-xfails.txt
numpy-dev-xfails.txt		numpy-dev-xfails.txt
numpy-skips.txt		numpy-skips.txt
numpy-xfails.txt		numpy-xfails.txt
pyproject.toml		pyproject.toml
test_cupy.sh		test_cupy.sh
torch-skips.txt		torch-skips.txt
torch-xfails.txt		torch-xfails.txt

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