pyopencl 2017.2-1 source package in Ubuntu
Changelog
pyopencl (2017.2-1) unstable; urgency=medium
* New upstream release (Closes: #880583).
* Update Standards-Version to 4.1.2.
* Use DEB_BUILD_OPTIONS for nodoc option (Closes: #880559).
* Add copyright for new file pyopencl/cltypes.py
* Sort debian/copyright file.
* Update dependency on pytools.
* Use dpkg's pkg-info.mk instead of dpkg-parsechangelog.
* Refresh patches.
* Change Priority of debugging packages to optional.
* Change debian/watch file to use HTTPS, as suggested by lintian.
* Use HTTPS URL of upstream URL.
-- Tomasz Rybak <email address hidden> Sat, 09 Dec 2017 18:46:46 +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 |
|---|
Downloads
| File | Size | SHA-256 Checksum |
|---|---|---|
| pyopencl_2017.2-1.dsc | 2.9 KiB | cbe12a0175c4da90aba98d5605de3a4f0f1fb6fdadf2124559522090550838fa |
| pyopencl_2017.2.orig.tar.xz | 275.3 KiB | 9b882fc63a1103dcc12d97bd6c51e5d0050ceff7539b808230bcca665e3e0894 |
| pyopencl_2017.2-1.debian.tar.xz | 12.8 KiB | cd55e72b72a82d88f0cc339f485e00ef27991a8eca20ad0ea301e4aaeb91952f |
Available diffs
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: 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: 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.
