%global _empty_manifest_terminate_build 0 Name: python-pyFFTW Version: 0.13.1 Release: 1 Summary: A pythonic wrapper around FFTW, the FFT library, presenting a unified interface for all the supported transforms. License: BSD License URL: https://github.com/pyFFTW/pyFFTW Source0: https://mirrors.nju.edu.cn/pypi/web/packages/9f/bc/7376df0393e816b60bdc627fc8f653706f4caa95bcf79d07302a672f893e/pyFFTW-0.13.1.tar.gz Requires: python3-numpy Requires: python3-numpy Requires: python3-dask[array] Requires: python3-scipy %description pyFFTW is a pythonic wrapper around `FFTW `_, the speedy FFT library. The ultimate aim is to present a unified interface for all the possible transforms that FFTW can perform. Both the complex DFT and the real DFT are supported, as well as arbitrary axes of arbitrary shaped and strided arrays, which makes it almost feature equivalent to standard and real FFT functions of ``numpy.fft`` (indeed, it supports the ``clongdouble`` dtype which ``numpy.fft`` does not). Operating FFTW in multithreaded mode is supported. A comprehensive unittest suite can be found with the source on the github repository. To build for windows from source, download the fftw dlls for your system and the header file from here (they're in a zip file): http://www.fftw.org/install/windows.html and place them in the pyfftw directory. The files are libfftw3-3.dll, libfftw3l-3.dll, libfftw3f-3.dll and libfftw3.h. Under linux, to build from source, the FFTW library must be installed already. This should probably work for OSX, though I've not tried it. Numpy is a dependency for both. The documentation can be found `here `_, and the source is on `github `_. %package -n python3-pyFFTW Summary: A pythonic wrapper around FFTW, the FFT library, presenting a unified interface for all the supported transforms. Provides: python-pyFFTW BuildRequires: python3-devel BuildRequires: python3-setuptools BuildRequires: python3-pip BuildRequires: python3-cffi BuildRequires: gcc BuildRequires: gdb %description -n python3-pyFFTW pyFFTW is a pythonic wrapper around `FFTW `_, the speedy FFT library. The ultimate aim is to present a unified interface for all the possible transforms that FFTW can perform. Both the complex DFT and the real DFT are supported, as well as arbitrary axes of arbitrary shaped and strided arrays, which makes it almost feature equivalent to standard and real FFT functions of ``numpy.fft`` (indeed, it supports the ``clongdouble`` dtype which ``numpy.fft`` does not). Operating FFTW in multithreaded mode is supported. A comprehensive unittest suite can be found with the source on the github repository. To build for windows from source, download the fftw dlls for your system and the header file from here (they're in a zip file): http://www.fftw.org/install/windows.html and place them in the pyfftw directory. The files are libfftw3-3.dll, libfftw3l-3.dll, libfftw3f-3.dll and libfftw3.h. Under linux, to build from source, the FFTW library must be installed already. This should probably work for OSX, though I've not tried it. Numpy is a dependency for both. The documentation can be found `here `_, and the source is on `github `_. %package help Summary: Development documents and examples for pyFFTW Provides: python3-pyFFTW-doc %description help pyFFTW is a pythonic wrapper around `FFTW `_, the speedy FFT library. The ultimate aim is to present a unified interface for all the possible transforms that FFTW can perform. Both the complex DFT and the real DFT are supported, as well as arbitrary axes of arbitrary shaped and strided arrays, which makes it almost feature equivalent to standard and real FFT functions of ``numpy.fft`` (indeed, it supports the ``clongdouble`` dtype which ``numpy.fft`` does not). Operating FFTW in multithreaded mode is supported. A comprehensive unittest suite can be found with the source on the github repository. To build for windows from source, download the fftw dlls for your system and the header file from here (they're in a zip file): http://www.fftw.org/install/windows.html and place them in the pyfftw directory. The files are libfftw3-3.dll, libfftw3l-3.dll, libfftw3f-3.dll and libfftw3.h. Under linux, to build from source, the FFTW library must be installed already. This should probably work for OSX, though I've not tried it. Numpy is a dependency for both. The documentation can be found `here `_, and the source is on `github `_. %prep %autosetup -n pyFFTW-0.13.1 %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-pyFFTW -f filelist.lst %dir %{python3_sitearch}/* %files help -f doclist.lst %{_docdir}/* %changelog * Tue Apr 25 2023 Python_Bot - 0.13.1-1 - Package Spec generated