pyopencl 2013.2-1build1 source package in Ubuntu
Changelog
pyopencl (2013.2-1build1) trusty; urgency=medium * Rebuild for python3.4 as a supported python version. -- Matthias Klose <email address hidden> Sat, 04 Jan 2014 19:31:34 +0000
Upload details
- Uploaded by:
- Matthias Klose
- Uploaded to:
- Trusty
- Original maintainer:
- Tomasz Rybak
- Architectures:
- amd64 i386 all
- Section:
- python
- Urgency:
- Medium Urgency
See full publishing history Publishing
| Series | Published | Component | Section | |
|---|---|---|---|---|
| Trusty | release | multiverse | python |
Downloads
| File | Size | SHA-256 Checksum |
|---|---|---|
| pyopencl_2013.2.orig.tar.gz | 285.8 KiB | 011840744bfad0a9a1e9f0b0916a6f3b738607f75a0056caee29c79ac5b463f4 |
| pyopencl_2013.2-1build1.debian.tar.gz | 10.7 KiB | f67a1c96c809a6fbe9d3d07467b7c5818f5aa5ef71a5c29ec2ab4ec4471d1e3e |
| pyopencl_2013.2-1build1.dsc | 1.9 KiB | 993ae5448eb82300cb534ead345ef82aced089df3416412cbf14f8082bd52105 |
Available diffs
- diff from 2013.2-1 (in Debian) to 2013.2-1build1 (336 bytes)
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: 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.
- 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: No summary available for python3-pyopencl in ubuntu utopic.
No description available for python3-pyopencl in ubuntu utopic.
- 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.
