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gnu: python-einops: Update to 0.8.1.
* gnu/packages/python-science.scm (python-einops): Update to 0.8.1. [native-inputs]: Remove jupyter. Change-Id: I2d5c710990a77ca0fef480eaed4b59da6a10db27
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@ -2734,35 +2734,42 @@ necessary for reproducing the experiments in the paper.")
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(define-public python-einops
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(package
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(name "python-einops")
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(version "0.6.1")
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(source (origin
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(version "0.8.1")
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(source
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(origin
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(method git-fetch) ;PyPI misses .ipynb files required for tests
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(uri (git-reference
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(url "https://github.com/arogozhnikov/einops")
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(commit (string-append "v" version))))
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(file-name (git-file-name name version))
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(sha256
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(base32
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"1h8p39kd7ylg99mh620xr20hg7v78x1jnj6vxwk31rlw2dmv2dpr"))))
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(base32 "07xd5a4sya3mr003f17hxykcbq3zf3mnr51qagv7fy55qcnbkn97"))))
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(build-system pyproject-build-system)
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(arguments
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(list #:phases #~(modify-phases %standard-phases
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(list
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#:test-flags
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;; Skip optional dependency on Jupyter during tests.
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#~(list "--ignore=scripts/test_notebooks.py")
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#:phases
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#~(modify-phases %standard-phases
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(add-after 'unpack 'set-backend
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(lambda _
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;; Einops supports different backends, but we test
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;; only NumPy for availability and simplicity.
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(setenv "EINOPS_TEST_BACKENDS" "numpy"))))))
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(native-inputs (list jupyter
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python-hatchling
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(native-inputs
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(list python-hatchling
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python-nbconvert
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python-nbformat
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python-parameterized
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python-pytest))
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(propagated-inputs (list python-numpy))
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(propagated-inputs
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(list python-numpy))
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(home-page "https://einops.rocks/")
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(synopsis "Tensor operations for different backends")
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(description "Einops provides a set of tensor operations for NumPy and
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multiple deep learning frameworks.")
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(description
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"Einops provides a set of tensor operations for NumPy and multiple deep
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learning frameworks.")
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(license license:expat)))
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(define-public python-xarray
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