pyopencl 2018.2.2-1 source package in Ubuntu

Changelog

pyopencl (2018.2.2-1) unstable; urgency=medium

  * New upstream release
    * Update d/copyright.
    * Refresh patches.
  * Add abort-on-upstream-changes to d/source/local-options.
  * Add more hardening options to d/rules.
  * Add lintian override for lack of autopkgtest.
  * Add DEB_BUILD_OPTIONS terse.
  * Update Standards-Version to 4.3.0; no changes necessary.
  * Set compatibility level to 12; no changes necessary.
  * Update debian/watch to use substitution variables.

 -- Tomasz Rybak <email address hidden>  Sun, 27 Jan 2019 15:24:03 +0100

Upload details

Uploaded by:
Debian OpenCL Maintainers on 2019-01-27
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 Pocket Published Component Section
Eoan release on 2019-04-18 universe python
Disco release on 2019-02-26 universe python

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pyopencl_2018.2.2-1.dsc 2.9 KiB e8e4ad2781f610d4ff9c5ddfcf2ee6ba319fe6c2c0c0fd27cce3d86f711f0e72
pyopencl_2018.2.2.orig.tar.xz 271.4 KiB 7eb09b686b688efd6381b3b3073403602b672b43a29bcc3b97ffc4f74e0f6f4d
pyopencl_2018.2.2-1.debian.tar.xz 13.3 KiB 8b8d302c1fe0fcfd74da5671610ba6c37fd87418c35ae23af12f40935142fe6c

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.