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 on 2017-12-30
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 Pocket Published Component Section
Bionic release on 2017-12-30 universe python

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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

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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.