pyopencl 2018.2.2-1build1 source package in Ubuntu

Changelog

pyopencl (2018.2.2-1build1) focal; urgency=medium

  * No-change rebuild to build with python3.8.

 -- Matthias Klose <email address hidden>  Fri, 18 Oct 2019 18:42:25 +0000

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

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pyopencl_2018.2.2.orig.tar.xz 271.4 KiB 7eb09b686b688efd6381b3b3073403602b672b43a29bcc3b97ffc4f74e0f6f4d
pyopencl_2018.2.2-1build1.debian.tar.xz 13.4 KiB 1cf60c6b102c85b27e012f8c68f7ef0df58774ae9933765de6010731600ea084
pyopencl_2018.2.2-1build1.dsc 3.0 KiB f9932e870893efb9f39a319e56c339f826eee682f8cfc94acc9bb21ceac87dbb

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Binary packages built by this source

python-pyopencl: No summary available for python-pyopencl in ubuntu focal.

No description available for python-pyopencl in ubuntu focal.

python-pyopencl-dbg: No summary available for python-pyopencl-dbg in ubuntu focal.

No description available for python-pyopencl-dbg in ubuntu focal.

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.