pyopencl 2019.1.1-1 source package in Ubuntu
Changelog
pyopencl (2019.1.1-1) unstable; urgency=medium * New upstream release. * Refresh patches. * Remove Python 2 packages, preparing for #937497. * Add patch to run build under Python 3. * Update Standards-Version to 4.4.1; no changes necessary. * Use debhelper-compat versioned dependency instead of d/compat to mark debhelper compatibility level. * Update d/copyright; use debmake suggestion and change name of MIT to Expat licence, removing ambiguity. * Add upstream GPG key. * Remove Replaces: python-pyopencl-headers, not-relevant even in oldoldstable. -- Tomasz Rybak <email address hidden> Tue, 05 Nov 2019 22:10:21 +0100
Upload details
- Uploaded by:
- Debian OpenCL Maintainers
- Uploaded to:
- Sid
- Original maintainer:
- Debian OpenCL Maintainers
- Architectures:
- amd64 i386 kfreebsd-amd64 kfreebsd-i386 arm64 armhf all
- Section:
- misc
- Urgency:
- Medium Urgency
See full publishing history Publishing
Series | Published | Component | Section |
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Downloads
File | Size | SHA-256 Checksum |
---|---|---|
pyopencl_2019.1.1-1.dsc | 2.6 KiB | 97bc603f2416dee43acba30c51427b2eb8a14d70e87204e8c7fc52f56d852904 |
pyopencl_2019.1.1.orig.tar.xz | 273.4 KiB | e318700eef403446e15044b6dfecd35d7524e80d3c413e3afaba4d124f08f3a0 |
pyopencl_2019.1.1-1.debian.tar.xz | 24.5 KiB | 78d859bd65c34c47d88d7602456480c9a3066935b65ffddc4db3d4cdd4d176cd |
Available diffs
No changes file available.
Binary packages built by this source
- python-pyopencl-doc: 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.
- python3-pyopencl: 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.
- python3-pyopencl-dbg: 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.