pyopencl 2022.3.1-1 source package in Ubuntu
Changelog
pyopencl (2022.3.1-1) unstable; urgency=medium * New upstream release. * Refresh patches and cleanup rules. * Update Standards-Version to 4.6.2; no changes necessary. * Disable loading external mathjax from documentation. -- Andreas Beckmann <email address hidden> Wed, 04 Jan 2023 13:39:30 +0100
Upload details
- Uploaded by:
- Debian OpenCL Maintainers
- Uploaded to:
- Sid
- Original maintainer:
- Debian OpenCL Maintainers
- Architectures:
- any all
- Section:
- misc
- Urgency:
- Medium Urgency
See full publishing history Publishing
| Series | Published | Component | Section |
|---|
Downloads
| File | Size | SHA-256 Checksum |
|---|---|---|
| pyopencl_2022.3.1-1.dsc | 2.7 KiB | 98c3281b63a03f290e3df9eca3fcb3a75e96af95b0716096f91dfdcced2d95da |
| pyopencl_2022.3.1.orig.tar.gz | 459.4 KiB | 4a3db0fe61b5cdc95267526deebd71a7e1d795694d4b0fe2761f0630bcca3621 |
| pyopencl_2022.3.1-1.debian.tar.xz | 25.1 KiB | 2b2b6943631616f2354ff4d53b0ffe658bf3d64fec8820beb7ff6c92c0d25348 |
Available diffs
- diff from 2022.2.4-1 to 2022.3.1-1 (54.4 KiB)
No changes file available.
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
