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| author | Sharlatan Hellseher <sharlatanus@gmail.com> | 2024-07-15 20:15:36 +0100 |
|---|---|---|
| committer | Sharlatan Hellseher <sharlatanus@gmail.com> | 2024-07-30 10:30:47 +0100 |
| commit | 77d4efec425418d7cb11369cb8b1d59b8b4dfd2b (patch) | |
| tree | 03c8231d852be47312f7d55faf8ff5be9618b273 /gnu/packages/python-science.scm | |
| parent | 31e3303dd7a063c8c3a33c1d91499f54e6539243 (diff) | |
| download | guix-77d4efec425418d7cb11369cb8b1d59b8b4dfd2b.tar.gz guix-77d4efec425418d7cb11369cb8b1d59b8b4dfd2b.zip | |
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
Diffstat (limited to 'gnu/packages/python-science.scm')
| -rw-r--r-- | gnu/packages/python-science.scm | 15 |
1 files changed, 9 insertions, 6 deletions
diff --git a/gnu/packages/python-science.scm b/gnu/packages/python-science.scm index 8ba3432637..7012a942d3 100644 --- a/gnu/packages/python-science.scm +++ b/gnu/packages/python-science.scm @@ -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 +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 |