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%global _empty_manifest_terminate_build 0
Name: python-fast-histogram
Version: 0.11
Release: 1
Summary: Fast simple 1D and 2D histograms
License: BSD
URL: https://github.com/astrofrog/fast-histogram
Source0: https://mirrors.nju.edu.cn/pypi/web/packages/c2/35/36883176c938d8610271093e3b950048a928c200cd4a51b77b70cabd91c9/fast-histogram-0.11.tar.gz
Requires: python3-numpy
Requires: python3-pytest
Requires: python3-pytest-cov
Requires: python3-hypothesis[numpy]
%description
Sometimes you just want to compute simple 1D or 2D histograms with regular bins. Fast. No
nonsense. `Numpy's <http://www.numpy.org>`__ histogram functions are
versatile, and can handle for example non-regular binning, but this
versatility comes at the expense of performance.
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 ``numpy.histogram``, and a 2D histogram function
that is **20-25x faster** than ``numpy.histogram2d``.
To install::
pip install fast-histogram
or if you use conda you can instead do::
conda install -c conda-forge fast-histogram
The ``fast_histogram`` module then provides two functions:
``histogram1d`` and ``histogram2d``:
from fast_histogram import histogram1d, histogram2d
%package -n python3-fast-histogram
Summary: Fast simple 1D and 2D histograms
Provides: python-fast-histogram
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
BuildRequires: python3-cffi
BuildRequires: gcc
BuildRequires: gdb
%description -n python3-fast-histogram
Sometimes you just want to compute simple 1D or 2D histograms with regular bins. Fast. No
nonsense. `Numpy's <http://www.numpy.org>`__ histogram functions are
versatile, and can handle for example non-regular binning, but this
versatility comes at the expense of performance.
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 ``numpy.histogram``, and a 2D histogram function
that is **20-25x faster** than ``numpy.histogram2d``.
To install::
pip install fast-histogram
or if you use conda you can instead do::
conda install -c conda-forge fast-histogram
The ``fast_histogram`` module then provides two functions:
``histogram1d`` and ``histogram2d``:
from fast_histogram import histogram1d, histogram2d
%package help
Summary: Development documents and examples for fast-histogram
Provides: python3-fast-histogram-doc
%description help
Sometimes you just want to compute simple 1D or 2D histograms with regular bins. Fast. No
nonsense. `Numpy's <http://www.numpy.org>`__ histogram functions are
versatile, and can handle for example non-regular binning, but this
versatility comes at the expense of performance.
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 ``numpy.histogram``, and a 2D histogram function
that is **20-25x faster** than ``numpy.histogram2d``.
To install::
pip install fast-histogram
or if you use conda you can instead do::
conda install -c conda-forge fast-histogram
The ``fast_histogram`` module then provides two functions:
``histogram1d`` and ``histogram2d``:
from fast_histogram import histogram1d, histogram2d
%prep
%autosetup -n fast-histogram-0.11
%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-fast-histogram -f filelist.lst
%dir %{python3_sitearch}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Tue Apr 25 2023 Python_Bot <Python_Bot@openeuler.org> - 0.11-1
- Package Spec generated
|
