pyopencl 2017.2.2-1 source package in Ubuntu
Changelog
pyopencl (2017.2.2-1) unstable; urgency=medium * New upstream release (Closes: #884519). * Update dependency on pytools to 2017.6. * Update Standards-Version to 4.1.3; no changes necessary. * Update d/rules get-orig-source to remove all git-related files. * Update copyright for file pyopencl/algorithm.py * Refresh patches. -- Tomasz Rybak <email address hidden> Fri, 29 Dec 2017 22:38:34 +0100
Upload details
- Uploaded by:
- Tomasz Rybak
- Uploaded to:
- Sid
- Original maintainer:
- Tomasz Rybak
- Architectures:
- amd64 i386 kfreebsd-amd64 kfreebsd-i386 arm64 armhf all
- Section:
- misc
- Urgency:
- Medium Urgency
See full publishing history Publishing
Series | Published | Component | Section | |
---|---|---|---|---|
Bionic | release | universe | python |
Downloads
File | Size | SHA-256 Checksum |
---|---|---|
pyopencl_2017.2.2-1.dsc | 2.9 KiB | c09b04fd9d132da7c006dce52a19623b82a97d251aa623105f9955e29a859391 |
pyopencl_2017.2.2.orig.tar.xz | 278.6 KiB | 33e088b2b7177be7dc9065462599c2cd0797e160dd70362ee367547c7a85da35 |
pyopencl_2017.2.2-1.debian.tar.xz | 12.8 KiB | 1dd7314dd097473d8e3d04028430e3fc124ae32557a58f21cbc0e03d4092953c |
Available diffs
- diff from 2017.2-1 to 2017.2.2-1 (23.5 KiB)
No changes file available.
Binary packages built by this source
- python-pyopencl: 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).
- python-pyopencl-dbg: No summary available for python-pyopencl-dbg in ubuntu cosmic.
No description available for python-pyopencl-dbg in ubuntu cosmic.
- python-pyopencl-doc: No summary available for python-pyopencl-doc in ubuntu cosmic.
No description available for python-pyopencl-doc in ubuntu cosmic.
- 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.