pyopencl 2019.1.1-1build1 source package in Ubuntu

Changelog

pyopencl (2019.1.1-1build1) focal; urgency=medium

  * No-change rebuild to drop python3.7.

 -- Matthias Klose <email address hidden>  Tue, 18 Feb 2020 09:27:35 +0100

Upload details

Uploaded by:
Matthias Klose on 2020-02-18
Uploaded to:
Focal
Original maintainer:
Debian OpenCL Maintainers
Architectures:
amd64 i386 kfreebsd-amd64 kfreebsd-i386 arm64 armhf all
Section:
python
Urgency:
Medium Urgency

See full publishing history Publishing

Series Pocket Published Component Section
Groovy release on 2020-04-24 universe python
Focal release on 2020-02-21 universe python

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pyopencl_2019.1.1.orig.tar.xz 273.4 KiB e318700eef403446e15044b6dfecd35d7524e80d3c413e3afaba4d124f08f3a0
pyopencl_2019.1.1-1build1.debian.tar.xz 24.6 KiB 6712b3e4d20002c8dbd29cc33ef9a1a9dcd1c7db414bb13664a221232c8f949a
pyopencl_2019.1.1-1build1.dsc 2.6 KiB a6f547e5f905f8d948f022ff27b68d75bd001f82a74f7f3fc283e586e5d6dd0e

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Binary packages built by this source

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.