pyopencl 2023.1.3-1 source package in Ubuntu
Changelog
pyopencl (2023.1.3-1) unstable; urgency=medium * New upstream release. * Drop python3-six dependency, no longer used since 2021.1. (Closes: #1052511) -- Andreas Beckmann <email address hidden> Wed, 11 Oct 2023 11:58:24 +0200
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 |
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Downloads
File | Size | SHA-256 Checksum |
---|---|---|
pyopencl_2023.1.3-1.dsc | 2.7 KiB | 724be31eb7211e88198f86f0f4951238a5d65c3980eb4db7f00199488a6bb815 |
pyopencl_2023.1.3.orig.tar.gz | 462.8 KiB | b67216f5d28e7ae8573db28c0846c330e23b0e0465b6f3d8112d09f2ee294997 |
pyopencl_2023.1.3-1.debian.tar.xz | 25.7 KiB | 3acad685bcedee1b079c22e954cb95fbcbc3c1d53e79ad6fbda6084e6e0d9ab5 |
Available diffs
- diff from 2023.1.1-1 to 2023.1.3-1 (4.7 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