pyopencl 2022.3.1-2 source package in Ubuntu

Changelog

pyopencl (2022.3.1-2) unstable; urgency=medium

  * Build without python-numpy-doc.  (Closes: #1028732)

 -- Andreas Beckmann <email address hidden>  Mon, 16 Jan 2023 18:16:22 +0100

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Uploaded by:
Debian OpenCL Maintainers
Uploaded to:
Sid
Original maintainer:
Debian OpenCL Maintainers
Architectures:
any all
Section:
misc
Urgency:
Medium Urgency

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pyopencl_2022.3.1.orig.tar.gz 459.4 KiB 4a3db0fe61b5cdc95267526deebd71a7e1d795694d4b0fe2761f0630bcca3621
pyopencl_2022.3.1-2.debian.tar.xz 25.1 KiB 8cfc31a5b0354a18660bb3dba62a58bc912644f65e021d7e38d38e831c28e22b

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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-dbgsym: debug symbols for python3-pyopencl