%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://mirrors.nju.edu.cn/pypi/web/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-pip 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 * Wed Mar 08 2023 Python_Bot - 1.1.0-1 - Package Spec generated