Source: pynfft
Maintainer: Debian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
Uploaders: Ghislain Antony Vaillant <ghisvail@gmail.com>
Section: science
Testsuite: autopkgtest
Priority: optional
Build-Depends: cython,
               cython-dbg,
               cython3,
               cython3-dbg,
               debhelper (>= 9),
               dh-python,
               libnfft3-dev,
               python-all-dbg,
               python-all-dev,
               python-nose,
               python-numpy,
               python-numpy-dbg,
               python-setuptools,
               python3-all-dbg,
               python3-all-dev,
               python3-nose,
               python3-numpy,
               python3-numpy-dbg,
               python3-setuptools
Build-Depends-Indep: python-sphinx
Standards-Version: 3.9.7
Vcs-Browser: https://anonscm.debian.org/cgit/debian-science/packages/pynfft.git
Vcs-Git: https://anonscm.debian.org/git/debian-science/packages/pynfft.git
Homepage: https://github.com/ghisvail/pyNFFT.git
X-Python-Version: >= 2.6
X-Python3-Version: >= 3.2

Package: python-pynfft
Architecture: any
Section: python
Depends: ${misc:Depends},
         ${python:Depends},
         ${shlibs:Depends}
Suggests: python-pynfft-doc
Description: Python bindings for the NFFT3 library - Python 2
 This package provides Python bindings to the NFFT library, useful for 
 performing Fourier transforms on non-uniformly sampled data with efficient 
 speed. The bindings were generated using Cython and abstract the creation 
 and execution of NFFT plans out using classes.
 .
 This package provides the Python 2 version of the bindings.

Package: python-pynfft-dbg
Architecture: any
Section: debug
Priority: extra
Depends: ${misc:Depends},
         ${python:Depends},
         ${shlibs:Depends},
         python-dbg,
         python-numpy-dbg,
         python-pynfft (= ${binary:Version})
Description: Python bindings for the NFFT3 library - Python 2 (debug)
 This package provides Python bindings to the NFFT library, useful for 
 performing Fourier transforms on non-uniformly sampled data with efficient 
 speed. The bindings were generated using Cython and abstract the creation 
 and execution of NFFT plans out using classes.
 .
 This package provides the debugging symbols for the Python 2 bindings.

Package: python3-pynfft
Architecture: any
Section: python
Depends: ${misc:Depends},
         ${python3:Depends},
         ${shlibs:Depends}
Suggests: python-pynfft-doc
Description: Python bindings for the NFFT3 library - Python 3
 This package provides Python bindings to the NFFT library, useful for 
 performing Fourier transforms on non-uniformly sampled data with efficient 
 speed. The bindings were generated using Cython and abstract the creation 
 and execution of NFFT plans out using classes.
 .
 This package provides the Python 3 version of the bindings.

Package: python3-pynfft-dbg
Architecture: any
Section: debug
Priority: extra
Depends: ${misc:Depends},
         ${python3:Depends},
         ${shlibs:Depends},
         python3-dbg,
         python3-numpy-dbg,
         python3-pynfft (= ${binary:Version})
Description: Python bindings to the NFFT3 library - Python 3 (debug)
 This package provides Python bindings to the NFFT library, useful for 
 performing Fourier transforms on non-uniformly sampled data with efficient 
 speed. The bindings were generated using Cython and abstract the creation 
 and execution of NFFT plans out using classes.
 .
 This package provides the debugging information of the Python 3 bindings.

Package: python-pynfft-doc
Architecture: all
Section: doc
Depends: ${misc:Depends},
         ${sphinxdoc:Depends}
Description: Python bindings for the NFFT3 library - Documentation
 This package provides Python bindings to the NFFT library, useful for 
 performing Fourier transforms on non-uniformly sampled data with efficient 
 speed. The bindings were generated using Cython and abstract the creation 
 and execution of NFFT plans out using classes.
 .
 This package provides the common documentation.