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gnu: python-sparse: Move to python-science.

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* gnu/packages/python-xyz.scm (python-sparse): Move from here ...
* gnu/packages/python-science.scm: ... to here.

Change-Id: I52b814e264aa2fe28adeaec46b868f2e3b8279ec
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Sharlatan Hellseher 2025-07-24 15:35:53 +01:00
parent f9f378224d
commit 068654e0e9
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2 changed files with 39 additions and 38 deletions
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@ -12,6 +12,7 @@
;;; Copyright © 2020 Pierre Langlois <pierre.langlois@gmx.com>
;;; Copyright © 2020-2025 Vinicius Monego <monego@posteo.net>
;;; Copyright © 2021 Greg Hogan <code@greghogan.com>
;;; Copyright © 2021 Mădălin Ionel Patrașcu <madalinionel.patrascu@mdc-berlin.de>
;;; Copyright © 2021 Roel Janssen <roel@gnu.org>
;;; Copyright © 2021 Paul Garlick <pgarlick@tourbillion-technology.com>
;;; Copyright © 2021 Arun Isaac <arunisaac@systemreboot.net>
@ -3081,6 +3082,44 @@ its software deployment plugins.")
Snakemake and its storage plugins.")
(license license:expat)))
(define-public python-sparse
(package
(name "python-sparse")
(version "0.15.5")
(source
(origin
(method url-fetch)
(uri (pypi-uri "sparse" version))
(sha256
(base32
"0rp29gp82qwwkq210pzh2qmlqhi2007nb7p7nwqmrkgmjq6cwxjc"))))
(build-system pyproject-build-system)
(propagated-inputs
(list python-numba python-numpy python-scipy))
(native-inputs
(list python-dask
python-pytest
python-pytest-cov
python-setuptools
python-setuptools-scm-next
python-wheel))
(home-page "https://github.com/pydata/sparse/")
(synopsis "Library for multi-dimensional sparse arrays")
(description
"This package implements sparse arrays of arbitrary dimension on top of
@code{numpy} and @code{scipy.sparse}. Sparse array is a matrix in which most
of the elements are zero. @code{python-sparse} generalizes the
@code{scipy.sparse.coo_matrix} and @code{scipy.sparse.dok_matrix} layouts, but
extends beyond just rows and columns to an arbitrary number of dimensions.
Additionally, this project maintains compatibility with the
@code{numpy.ndarray} interface rather than the @code{numpy.matrix} interface
used in @code{scipy.sparse}. These differences make this project useful in
certain situations where @code{scipy.sparse} matrices are not well suited, but
it should not be considered a full replacement. It lacks layouts that are not
easily generalized like @dfn{compressed sparse row/column}(CSR/CSC) and
depends on @code{scipy.sparse} for some computations.")
(license license:bsd-3)))
(define-public python-tdda
(package
(name "python-tdda")