Result for 03E5F5F6F03A684859E79280243FBAB47E0DA0F5

Query result

Key Value
FileName./usr/lib/python3.10/site-packages/opt_einsum/tests/__pycache__/test_contract.cpython-310.opt-1.pyc
FileSize7233
MD57219A6BAB50A8E5FAAE7247B6F6CDE1E
SHA-103E5F5F6F03A684859E79280243FBAB47E0DA0F5
SHA-25648DB88271DBFDAE86DE88BDDD92A96266F5CC75152BD74F595B4512128EF4937
SSDEEP96:EYYOgoaxSbP0WJDuRCFXhXquQjaJwZK63cCZhOGWN6bXMWblwalD1ZCXkTltIGOC:BUoaS1DGih6uSbZPNhFWNANbFWuoC
TLSHT199E1F960946FDE07FEA1F4F45219811C5330D3FE9BEEA013A52CE49E7DCA2E416A6948
hashlookup:parent-total1
hashlookup:trust55

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Parents (Total: 1)

The searched file hash is included in 1 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
MD5BF6C5B00412788CBCFDC9E420E0E652C
PackageArchnoarch
PackageDescriptionOptimized einsum can significantly reduce the overall execution time of einsum-like expressions (e.g., `np.einsum`,`dask.array.einsum`,`pytorch.einsum`,`tensorflow.einsum`) by optimizing the expression's contraction order and dispatching many operations to canonical BLAS, cuBLAS, or other specialized routines. Optimized einsum is agnostic to the backend and can handle NumPy, Dask, PyTorch, Tensorflow, CuPy, Sparse, Theano, JAX, and Autograd arrays as well as potentially any library which conforms to a standard API. See the [**documentation**](http://optimized-einsum.readthedocs.io) for more information.
PackageMaintainerhttps://bugs.opensuse.org
PackageNamepython310-opt-einsum
PackageRelease2.3
PackageVersion3.3.0
SHA-121293A6AD9894DCE3F346289944DF047FED7E64A
SHA-256AD8BB20A9A9E6188F4BB59CF1713210F3433EDDE77D95103223828CD922C165B