pyopencl 2023.1.3-1build2 source package in Ubuntu
Changelog
pyopencl (2023.1.3-1build2) noble; urgency=medium * No-change rebuild with Python 3.12 only -- Graham Inggs <email address hidden> Thu, 11 Apr 2024 11:20:00 +0000
Upload details
- Uploaded by:
- Graham Inggs
- Uploaded to:
- Noble
- Original maintainer:
- Debian OpenCL Maintainers
- Architectures:
- any all
- Section:
- python
- Urgency:
- Medium Urgency
See full publishing history Publishing
Series | Published | Component | Section | |
---|---|---|---|---|
Noble | release | universe | python |
Downloads
File | Size | SHA-256 Checksum |
---|---|---|
pyopencl_2023.1.3.orig.tar.gz | 462.8 KiB | b67216f5d28e7ae8573db28c0846c330e23b0e0465b6f3d8112d09f2ee294997 |
pyopencl_2023.1.3-1build2.debian.tar.xz | 25.8 KiB | bf0db5d072b0e204ee0d16ed4015951c782d0a2f93e8484d8c57cc8cad3ae423 |
pyopencl_2023.1.3-1build2.dsc | 2.7 KiB | 1bc56fae92c82ebbd8bbe875e4e46689997cd4b0baa333d0e2e4987464a44b63 |
Available diffs
- diff from 2023.1.3-1build1 to 2023.1.3-1build2 (316 bytes)
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