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Source: gpyfft
Section: science
Priority: optional
Maintainer: Debian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
Uploaders: Picca Frédéric-Emmanuel <picca@debian.org>
Build-Depends: cython3,
debhelper-compat (= 13),
dh-python,
dh-sequence-numpy3,
dh-sequence-python3,
libclfft-dev,
pocl-opencl-icd <!nocheck>,
python3-all-dev,
python3-numpy,
python3-parameterized <!nocheck>,
python3-pyopencl <!nocheck> <!nodoc>,
python3-setuptools,
Build-Depends-Indep: dh-sequence-sphinxdoc <!nodoc>,
python3-numpydoc <!nodoc>,
python3-sphinx <!nodoc>
Standards-Version: 4.1.1
Homepage: https://github.com/geggo/gpyfft
Vcs-Git: https://salsa.debian.org/science-team/gpyfft.git
Vcs-Browser: https://salsa.debian.org/science-team/gpyfft
Testsuite: autopkgtest-pkg-python
Package: python3-gpyfft
Architecture: any
Section: python
Depends: ${misc:Depends}, ${python3:Depends}, ${shlibs:Depends}
Suggests: python-gpyfft-doc
Description: Wrapper for the OpenCL FFT library clFFT (Python 3)
This python wrapper is designed to tightly integrate with
PyOpenCL. It consists of a low-level Cython based wrapper with an
interface similar to the underlying C library. On top of that it
offers a high-level interface designed to work on data contained in
instances of pyopencl.array.Array, a numpy work-alike array class for
GPU computations. The high-level interface takes some inspiration
from pyFFTW. For details of the high-level interface see fft.py.
.
This package installs the library for Python 3.
Package: python-gpyfft-doc
Architecture: all
Section: doc
Depends: ${misc:Depends}, ${sphinxdoc:Depends}
Multi-Arch: foreign
Description: Wrapper for the OpenCL FFT library clFFT (common documentation)
This python wrapper is designed to tightly integrate with
PyOpenCL. It consists of a low-level Cython based wrapper with an
interface similar to the underlying C library. On top of that it
offers a high-level interface designed to work on data contained in
instances of pyopencl.array.Array, a numpy work-alike array class for
GPU computations. The high-level interface takes some inspiration
from pyFFTW. For details of the high-level interface see fft.py.
.
This is the common documentation package.
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