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Source: pyopencl
Section: python
Priority: optional
Maintainer: Tomasz Rybak <tomasz.rybak@post.pl>
Build-Depends: debhelper (>= 10),
dh-python,
python-all-dev,
python-all-dbg,
python3-all-dev,
python3-all-dbg,
python3-doc <!nodoc>,
python-numpy-doc <!nodoc>,
python-mako-doc <!nodoc>,
python-cffi (>= 1.1.0),
python-cffi-backend-dbg,
python3-cffi (>= 1.1.0),
python3-cffi-backend-dbg,
python-setuptools,
python3-setuptools,
opencl-c-headers,
ocl-icd-opencl-dev | opencl-dev,
mesa-common-dev,
python-numpy (>= 1:1.4.1-4~),
python3-numpy,
python-sphinx (>= 1.0.7+dfsg) <!nodoc>,
python3-sphinx (>= 1.0.7+dfsg) <!nodoc>,
python3-mako,
python-pytools (>= 2015.1.2),
python3-pytools (>= 2015.1.2)
Standards-Version: 3.9.8
X-Python-Version: >= 2.5
X-Python3-Version: >= 3.3
Homepage: http://mathema.tician.de/software/pyopencl
Vcs-Git: https://anonscm.debian.org/git/collab-maint/python-pyopencl.git
Vcs-Browser: https://anonscm.debian.org/gitweb/?p=collab-maint/python-pyopencl.git
Package: python-pyopencl
Architecture: amd64 i386 kfreebsd-amd64 kfreebsd-i386 arm64 armhf
Depends: ${shlibs:Depends}, ${misc:Depends}, ${python:Depends},
ocl-icd-libopencl1 | libopencl1,
pocl-opencl-icd | opencl-icd,
python-pkg-resources,
python-appdirs (>= 1.4.0),
python-numpy,
python-pytools (>= 2015.1.2),
python-six
Recommends: python-pyopencl-doc <!nodoc>,
python-opengl,
python-mako
Suggests: python-imaging-tk,
python-pytest,
python-matplotlib,
python-pyopencl-dbg
Replaces: python-pyopencl-headers
Description: Python module to access OpenCL parallel computation API
PyOpenCL lets you access the OpenCL parallel computation API from
Python. Here's what sets PyOpenCL apart:
* Object cleanup tied to lifetime of objects. This idiom, often called
RAII in C++, makes it much easier to write correct, leak- and
crash-free code.
* Completeness. PyOpenCL puts the full power of OpenCL’s API at your
disposal, if you wish.
* Convenience. While PyOpenCL's primary focus is to make all of OpenCL
accessible, it tries hard to make your life less complicated as it
does so--without taking any shortcuts.
* Automatic Error Checking. All OpenCL errors are automatically
translated into Python exceptions.
* Speed. PyOpenCL’s base layer is written in C++, so all the niceties
above are virtually free.
* Helpful, complete documentation and a wiki.
* Liberal licensing (MIT).
Package: python-pyopencl-dbg
Section: debug
Priority: extra
Architecture: amd64 i386 kfreebsd-amd64 kfreebsd-i386 arm64 armhf
Depends: python-pyopencl (= ${binary:Version}), python-dbg,
${shlibs:Depends}, ${misc:Depends}, ${python:Depends},
python-cffi-backend-dbg
Description: Python module to access OpenCL API (debug extensions)
PyOpenCL lets you access the OpenCL parallel computation API from
Python. Here's what sets PyOpenCL apart:
* Object cleanup tied to lifetime of objects. This idiom, often called
RAII in C++, makes it much easier to write correct, leak- and
crash-free code.
* Completeness. PyOpenCL puts the full power of OpenCL’s API at your
disposal, if you wish.
* Convenience. While PyOpenCL's primary focus is to make all of OpenCL
accessible, it tries hard to make your life less complicated as it
does so--without taking any shortcuts.
* Automatic Error Checking. All OpenCL errors are automatically
translated into Python exceptions.
* Speed. PyOpenCL’s base layer is written in C++, so all the niceties
above are virtually free.
* Helpful, complete documentation and a wiki.
* Liberal licensing (MIT).
.
This package contains debug extensions build for the Python debug interpreter.
Package: python3-pyopencl
Architecture: amd64 i386 kfreebsd-amd64 kfreebsd-i386 arm64 armhf
Depends: ${shlibs:Depends}, ${misc:Depends}, ${python3:Depends},
ocl-icd-libopencl1 | libopencl1,
pocl-opencl-icd | opencl-icd,
python3-pkg-resources,
python3-appdirs (>= 1.4.0),
python3-numpy,
python3-pytools (>= 2015.1.2),
python3-six
Recommends: python-pyopencl-doc <!nodoc>,
python3-mako
Suggests: python3-imaging-tk,
python3-opengl,
python3-pytest,
python3-matplotlib,
python3-pyopencl-dbg
Replaces: python-pyopencl-headers
Description: Python 3 module to access OpenCL parallel computation API
PyOpenCL lets you access the OpenCL parallel computation API from
Python. Here's what sets PyOpenCL apart:
* Object cleanup tied to lifetime of objects. This idiom, often called
RAII in C++, makes it much easier to write correct, leak- and
crash-free code.
* Completeness. PyOpenCL puts the full power of OpenCL’s API at your
disposal, if you wish.
* Convenience. While PyOpenCL's primary focus is to make all of OpenCL
accessible, it tries hard to make your life less complicated as it
does so--without taking any shortcuts.
* Automatic Error Checking. All OpenCL errors are automatically
translated into Python exceptions.
* Speed. PyOpenCL’s base layer is written in C++, so all the niceties
above are virtually free.
* Helpful, complete documentation and a wiki.
* Liberal licensing (MIT).
.
This package contains Python 3 modules.
Package: python3-pyopencl-dbg
Section: debug
Priority: extra
Architecture: amd64 i386 kfreebsd-amd64 kfreebsd-i386 arm64 armhf
Depends: python3-pyopencl (= ${binary:Version}), python3-dbg,
${shlibs:Depends}, ${misc:Depends}, ${python3:Depends},
python3-cffi-backend-dbg
Description: Python 3 module to access OpenCL API (debug extensions)
PyOpenCL lets you access the OpenCL parallel computation API from
Python. Here's what sets PyOpenCL apart:
* Object cleanup tied to lifetime of objects. This idiom, often called
RAII in C++, makes it much easier to write correct, leak- and
crash-free code.
* Completeness. PyOpenCL puts the full power of OpenCL’s API at your
disposal, if you wish.
* Convenience. While PyOpenCL's primary focus is to make all of OpenCL
accessible, it tries hard to make your life less complicated as it
does so--without taking any shortcuts.
* Automatic Error Checking. All OpenCL errors are automatically
translated into Python exceptions.
* Speed. PyOpenCL’s base layer is written in C++, so all the niceties
above are virtually free.
* Helpful, complete documentation and a wiki.
* Liberal licensing (MIT).
.
This package contains extensions build for the Python 3 debug interpreter.
Package: python-pyopencl-doc
Section: doc
Architecture: all
Multi-Arch: foreign
Build-Profiles: <!nodoc>
Depends: ${sphinxdoc:Depends},
${misc:Depends}
Recommends: python3-doc,
python-numpy-doc,
python-mako-doc
Suggests: python-pyopencl,
python3-pyopencl
Description: module to access OpenCL parallel computation API (documentation)
PyOpenCL lets you access the OpenCL parallel computation API from
Python. Here's what sets PyOpenCL apart:
* Object cleanup tied to lifetime of objects. This idiom, often called
RAII in C++, makes it much easier to write correct, leak- and
crash-free code.
* Completeness. PyOpenCL puts the full power of OpenCL’s API at your
disposal, if you wish.
* Convenience. While PyOpenCL's primary focus is to make all of OpenCL
accessible, it tries hard to make your life less complicated as it
does so--without taking any shortcuts.
* Automatic Error Checking. All OpenCL errors are automatically
translated into Python exceptions.
* Speed. PyOpenCL’s base layer is written in C++, so all the niceties
above are virtually free.
* Helpful, complete documentation and a wiki.
* Liberal licensing (MIT).
.
This package contains HTML documentation and example scripts.
|
