pyopencl 2022.3.1-2build1 source package in Ubuntu
Changelog
pyopencl (2022.3.1-2build1) lunar; urgency=medium * Rebuild to drop Python 3.10 extension -- Jeremy Bicha <email address hidden> Tue, 28 Feb 2023 19:26:12 -0500
Upload details
- Uploaded by:
- Jeremy Bícha
- Uploaded to:
- Lunar
- Original maintainer:
- Debian OpenCL Maintainers
- Architectures:
- any all
- Section:
- python
- Urgency:
- Medium Urgency
See full publishing history Publishing
| Series | Published | Component | Section | |
|---|---|---|---|---|
| Lunar | release | universe | python |
Downloads
| File | Size | SHA-256 Checksum |
|---|---|---|
| pyopencl_2022.3.1.orig.tar.gz | 459.4 KiB | 4a3db0fe61b5cdc95267526deebd71a7e1d795694d4b0fe2761f0630bcca3621 |
| pyopencl_2022.3.1-2build1.debian.tar.xz | 25.1 KiB | a078876c0d31dcac921a9cdb2cff0f6b46f78a58d088c90f97b8f3221dc077b4 |
| pyopencl_2022.3.1-2build1.dsc | 2.7 KiB | cce8cc3a005ca2da277981828f77ba15cf11e65a0d2c7732cd00518e1fb0a895 |
Available diffs
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
