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gnu: python-fast-histogram: Adjust inputs.

* gnu/packages/python-science.scm (python-fast-histogram): Fix lint
warnings and adjust inputs.
[native-inputs]: Add python-setuptools-scm.

Change-Id: Ic51660d7542114f2bb45be4720ab4d899633e56d
master
Sharlatan Hellseher 2024-07-15 20:15:36 +01:00
parent 31e3303dd7
commit 77d4efec42
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GPG Key ID: 76D727BFF62CD2B5
1 changed files with 9 additions and 6 deletions

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@ -1551,17 +1551,20 @@ higher scores.")
(lambda _
(invoke "python" "setup.py" "build_ext" "--inplace"))))))
(propagated-inputs (list python-numpy))
(native-inputs (list python-hypothesis python-pytest))
(native-inputs
(list python-hypothesis
python-pytest
python-setuptools-scm))
(home-page "https://github.com/astrofrog/fast-histogram")
(synopsis "Fast simple 1D and 2D histograms")
(description
"The fast-histogram mini-package aims to provide simple and fast
histogram functions for regular bins that don't compromise on performance. It
doesn't do anything complicated - it just implements a simple histogram
algorithm in C and keeps it simple. The aim is to have functions that are fast
but also robust and reliable. The result is a 1D histogram function here that
is 7-15x faster than @code{numpy.histogram}, and a 2D histogram function that
is 20-25x faster than @code{numpy.histogram2d}.")
algorithm in C and keeps it simple. The aim is to have functions that are
fast but also robust and reliable. The result is a 1D histogram function here
that is 7-15x faster than @code{numpy.histogram}, and a 2D histogram function
that is 20-25x faster than @code{numpy.histogram2d}.")
(license license:bsd-3)))
(define-public python-fastcluster