_            _    _        _         _
      /\ \         /\ \ /\ \     /\_\      / /\
      \_\ \       /  \ \\ \ \   / / /     / /  \
      /\__ \     / /\ \ \\ \ \_/ / /     / / /\ \__
     / /_ \ \   / / /\ \ \\ \___/ /     / / /\ \___\
    / / /\ \ \ / / /  \ \_\\ \ \_/      \ \ \ \/___/
   / / /  \/_// / /   / / / \ \ \        \ \ \
  / / /      / / /   / / /   \ \ \   _    \ \ \
 / / /      / / /___/ / /     \ \ \ /_/\__/ / /
/_/ /      / / /____\/ /       \ \_\\ \/___/ /
\_\/       \/_________/         \/_/ \_____\/
python-autoray 0.8.10
Propagated dependencies: python-dask@2025.11.0 python-matplotlib@3.10.8 python-networkx@3.4.2 python-numpy@2.3.1 python-opt-einsum@3.4.0 python-scipy@1.16.3 python-sparse@0.18.0
Channel: guix
Location: gnu/packages/python-science.scm (gnu packages python-science)
Home page: https://github.com/jcmgray/autoray
Licenses: ASL 2.0
Build system: pyproject
Synopsis: Library for abstracting tensor operations
Description:

This package provides a lightweight Python library for abstracting tensor operations. It provides an automatic dispatch mechanism that means you can write backend agnostic code that works for any library that provides a numpy compatible API.

Total packages: 1