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%global _empty_manifest_terminate_build 0
Name:		python-astroscrappy
Version:	1.1.0
Release:	1
Summary:	Speedy Cosmic Ray Annihilation Package in Python
License:	BSD 3-Clause
URL:		https://github.com/astropy/astroscrappy
Source0:	https://files.pythonhosted.org/packages/6a/d2/0bc2fd59013ff7112c17ec3617ab6fb2c0d6d6264842a485d78f9dd85d02/astroscrappy-1.1.0.tar.gz

Requires:	python3-astropy
Requires:	python3-numpy
Requires:	python3-sphinx-astropy
Requires:	python3-Cython
Requires:	python3-pytest-astropy
Requires:	python3-scipy

%description
An optimized cosmic ray detector.
Astro-SCRAPPY is designed to detect cosmic rays in images (numpy arrays),
based on Pieter van Dokkum's L.A.Cosmic algorithm.
Much of this was originally adapted from cosmics.py written by Malte Tewes.
I have ported all of the slow functions to Cython/C, and optimized
where I can. This is designed to be as fast as possible so some of the
readability has been sacrificed, specifically in the C code.
If you use this code, please cite the Zendo DOI: https://zenodo.org/record/1482019
Please cite the original paper which can be found at:
http://www.astro.yale.edu/dokkum/lacosmic/
van Dokkum 2001, PASP, 113, 789, 1420
(article : http://adsabs.harvard.edu/abs/2001PASP..113.1420V)
This code requires Cython, preferably version >= 0.21.
Parallelization is achieved using OpenMP. This code should compile (although
the Cython files may have issues) using a compiler that does not support OMP,
e.g. clang.

%package -n python3-astroscrappy
Summary:	Speedy Cosmic Ray Annihilation Package in Python
Provides:	python-astroscrappy
BuildRequires:	python3-devel
BuildRequires:	python3-setuptools
BuildRequires:	python3-cffi
BuildRequires:	gcc
BuildRequires:	gdb
%description -n python3-astroscrappy
An optimized cosmic ray detector.
Astro-SCRAPPY is designed to detect cosmic rays in images (numpy arrays),
based on Pieter van Dokkum's L.A.Cosmic algorithm.
Much of this was originally adapted from cosmics.py written by Malte Tewes.
I have ported all of the slow functions to Cython/C, and optimized
where I can. This is designed to be as fast as possible so some of the
readability has been sacrificed, specifically in the C code.
If you use this code, please cite the Zendo DOI: https://zenodo.org/record/1482019
Please cite the original paper which can be found at:
http://www.astro.yale.edu/dokkum/lacosmic/
van Dokkum 2001, PASP, 113, 789, 1420
(article : http://adsabs.harvard.edu/abs/2001PASP..113.1420V)
This code requires Cython, preferably version >= 0.21.
Parallelization is achieved using OpenMP. This code should compile (although
the Cython files may have issues) using a compiler that does not support OMP,
e.g. clang.

%package help
Summary:	Development documents and examples for astroscrappy
Provides:	python3-astroscrappy-doc
%description help
An optimized cosmic ray detector.
Astro-SCRAPPY is designed to detect cosmic rays in images (numpy arrays),
based on Pieter van Dokkum's L.A.Cosmic algorithm.
Much of this was originally adapted from cosmics.py written by Malte Tewes.
I have ported all of the slow functions to Cython/C, and optimized
where I can. This is designed to be as fast as possible so some of the
readability has been sacrificed, specifically in the C code.
If you use this code, please cite the Zendo DOI: https://zenodo.org/record/1482019
Please cite the original paper which can be found at:
http://www.astro.yale.edu/dokkum/lacosmic/
van Dokkum 2001, PASP, 113, 789, 1420
(article : http://adsabs.harvard.edu/abs/2001PASP..113.1420V)
This code requires Cython, preferably version >= 0.21.
Parallelization is achieved using OpenMP. This code should compile (although
the Cython files may have issues) using a compiler that does not support OMP,
e.g. clang.

%prep
%autosetup -n astroscrappy-1.1.0

%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-astroscrappy -f filelist.lst
%dir %{python3_sitearch}/*

%files help -f doclist.lst
%{_docdir}/*

%changelog
* Fri Feb 24 2023 Python_Bot <Python_Bot@openeuler.org> - 1.1.0-1
- Package Spec generated