Source: pyopencl
Section: python
Priority: optional
Maintainer: Debian OpenCL Maintainers <pkg-opencl-devel@lists.alioth.debian.org>
Uploaders:
 Tomasz Rybak <serpent@debian.org>,
 Andreas Beckmann <anbe@debian.org>,
Build-Depends: debhelper-compat (= 13),
               dh-python,
               mesa-common-dev,
               ocl-icd-opencl-dev | opencl-dev,
               opencl-c-headers,
               pocl-opencl-icd,
               pybind11-dev,
               python3-all-dbg,
               python3-all-dev,
               python3-mako,
               python3-numpy,
               python3-pybind11 (>= 2.5.0),
               python3-pytest <!nocheck>,
               python3-pytools (>= 2017.6),
               python3-setuptools,
Build-Depends-Indep:
               python-mako-doc <!nodoc>,
               python-numpy-doc <!nodoc>,
               python3-doc <!nodoc>,
               python3-sphinx (>= 1.0.7+dfsg) <!nodoc>,
               python3-sphinx-copybutton <!nodoc>,
Standards-Version: 4.5.1
Rules-Requires-Root: no
Homepage: https://mathema.tician.de/software/pyopencl
Vcs-Git: https://salsa.debian.org/opencl-team/python-pyopencl.git
Vcs-Browser: https://salsa.debian.org/opencl-team/python-pyopencl

Package: python3-pyopencl
Architecture: any
Multi-Arch: no
Depends: ocl-icd-libopencl1 | libopencl1,
         pocl-opencl-icd | opencl-icd,
         python3-appdirs (>= 1.4.0),
         python3-mako,
         python3-numpy,
         python3-pkg-resources,
         python3-pytools (>= 2017.6),
         python3-six,
         ${misc:Depends},
         ${python3:Depends},
         ${shlibs:Depends}
Recommends: python-pyopencl-doc <!nodoc>,
Suggests: python3-imaging-tk,
          python3-matplotlib,
          python3-opengl,
          python3-pyopencl-dbg,
          python3-pytest
Description: 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.

Package: python3-pyopencl-dbg
Section: debug
Architecture: any
Multi-Arch: no
Depends: python3-dbg,
         python3-pyopencl (= ${binary:Version}),
         ${misc:Depends},
         ${python3:Depends},
         ${shlibs:Depends}
Description: Python 3 module to access OpenCL API (debug extensions)
 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 extensions build for the Python 3 debug interpreter.

Package: python-pyopencl-doc
Section: doc
Architecture: all
Multi-Arch: foreign
Build-Profiles: <!nodoc>
Depends: ${misc:Depends}, ${sphinxdoc:Depends}
Recommends: python-mako-doc, python-numpy-doc, python3-doc
Suggests: python3-pyopencl
Description: 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.
