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%global _empty_manifest_terminate_build 0
Name: python-numpy-groupies
Version: 0.9.20
Release: 1
Summary: Optimised tools for group-indexing operations: aggregated sum and more.
License: BSD
URL: https://github.com/ml31415/numpy-groupies
Source0: https://mirrors.nju.edu.cn/pypi/web/packages/9d/b7/859669e07c37a6217b795dbae8bc580c03e13296a22e85d6f1fc7da5be00/numpy_groupies-0.9.20.tar.gz
BuildArch: noarch
Requires: python3-numpy
Requires: python3-pytest
%description
This package consists of a couple of optimised tools for doing things that can roughly be
considered "group-indexing operations". The most prominent tool is `aggregate`.
`aggregate` takes an array of values, and an array giving the group number for each of those
values. It then returns the sum (or mean, or std, or any, ...etc.) of the values in each group.
You have probably come across this idea before, using `matlab` accumarray, `pandas` groupby,
or generally MapReduce algorithms and histograms.
There are different implementations of `aggregate` provided, based on plain `numpy`, `numba`
and `weave`. Performance is a main concern, and so far we comfortably beat similar
implementations in other packages (check the benchmarks).
%package -n python3-numpy-groupies
Summary: Optimised tools for group-indexing operations: aggregated sum and more.
Provides: python-numpy-groupies
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
%description -n python3-numpy-groupies
This package consists of a couple of optimised tools for doing things that can roughly be
considered "group-indexing operations". The most prominent tool is `aggregate`.
`aggregate` takes an array of values, and an array giving the group number for each of those
values. It then returns the sum (or mean, or std, or any, ...etc.) of the values in each group.
You have probably come across this idea before, using `matlab` accumarray, `pandas` groupby,
or generally MapReduce algorithms and histograms.
There are different implementations of `aggregate` provided, based on plain `numpy`, `numba`
and `weave`. Performance is a main concern, and so far we comfortably beat similar
implementations in other packages (check the benchmarks).
%package help
Summary: Development documents and examples for numpy-groupies
Provides: python3-numpy-groupies-doc
%description help
This package consists of a couple of optimised tools for doing things that can roughly be
considered "group-indexing operations". The most prominent tool is `aggregate`.
`aggregate` takes an array of values, and an array giving the group number for each of those
values. It then returns the sum (or mean, or std, or any, ...etc.) of the values in each group.
You have probably come across this idea before, using `matlab` accumarray, `pandas` groupby,
or generally MapReduce algorithms and histograms.
There are different implementations of `aggregate` provided, based on plain `numpy`, `numba`
and `weave`. Performance is a main concern, and so far we comfortably beat similar
implementations in other packages (check the benchmarks).
%prep
%autosetup -n numpy-groupies-0.9.20
%build
%py3_build
%install
%py3_install
install -d -m755 %{buildroot}/%{_pkgdocdir}
if [ -d doc ]; then cp -arf doc %{buildroot}/%{_pkgdocdir}; fi
if [ -d docs ]; then cp -arf docs %{buildroot}/%{_pkgdocdir}; fi
if [ -d example ]; then cp -arf example %{buildroot}/%{_pkgdocdir}; fi
if [ -d examples ]; then cp -arf examples %{buildroot}/%{_pkgdocdir}; fi
pushd %{buildroot}
if [ -d usr/lib ]; then
find usr/lib -type f -printf "/%h/%f\n" >> filelist.lst
fi
if [ -d usr/lib64 ]; then
find usr/lib64 -type f -printf "/%h/%f\n" >> filelist.lst
fi
if [ -d usr/bin ]; then
find usr/bin -type f -printf "/%h/%f\n" >> filelist.lst
fi
if [ -d usr/sbin ]; then
find usr/sbin -type f -printf "/%h/%f\n" >> filelist.lst
fi
touch doclist.lst
if [ -d usr/share/man ]; then
find usr/share/man -type f -printf "/%h/%f.gz\n" >> doclist.lst
fi
popd
mv %{buildroot}/filelist.lst .
mv %{buildroot}/doclist.lst .
%files -n python3-numpy-groupies -f filelist.lst
%dir %{python3_sitelib}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Wed Apr 12 2023 Python_Bot <Python_Bot@openeuler.org> - 0.9.20-1
- Package Spec generated
|
