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Source: pynfft
Maintainer: Debian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
Uploaders: Ghislain Antony Vaillant <ghisvail@gmail.com>
Section: science
Priority: optional
Build-Depends: cython3,
cython3-dbg,
debhelper (>= 9),
dh-python,
libnfft3-dev,
python3-all-dbg,
python3-all-dev,
python3-nose,
python3-numpy,
python3-numpy-dbg,
python3-setuptools
Build-Depends-Indep: python3-sphinx
Standards-Version: 4.4.1
Vcs-Browser: https://salsa.debian.org/science-team/pynfft
Vcs-Git: https://salsa.debian.org/science-team/pynfft.git
Homepage: https://github.com/ghisvail/pyNFFT.git
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.
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