Source: pyopencl Section: python Priority: optional Maintainer: Debian OpenCL Maintainers Uploaders: Tomasz Rybak Build-Depends: debhelper (>= 12), dh-python, python-all-dev, python-all-dbg, python3-all-dev, python3-all-dbg, python3-doc , python-numpy-doc , python-mako-doc , pybind11-dev, python-pybind11, python3-pybind11, python-setuptools, python3-setuptools, opencl-c-headers, ocl-icd-opencl-dev | opencl-dev, mesa-common-dev, python-numpy (>= 1:1.4.1-4~), python3-numpy, python-sphinx (>= 1.0.7+dfsg) , python3-sphinx (>= 1.0.7+dfsg) , python3-mako, python-pytools (>= 2017.6), python3-pytools (>= 2017.6) Standards-Version: 4.3.0 Rules-Requires-Root: no Homepage: http://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: amd64 i386 kfreebsd-amd64 kfreebsd-i386 arm64 armhf Multi-Arch: no Depends: ${shlibs:Depends}, ${misc:Depends}, ${python3:Depends}, ocl-icd-libopencl1 | libopencl1, pocl-opencl-icd | opencl-icd, python3-pkg-resources, python3-appdirs (>= 1.4.0), python3-numpy, python3-pytools (>= 2017.6), python3-six Recommends: python-pyopencl-doc , python3-mako Suggests: python3-imaging-tk, python3-opengl, python3-pytest, python3-matplotlib, python3-pyopencl-dbg Replaces: python-pyopencl-headers 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: amd64 i386 kfreebsd-amd64 kfreebsd-i386 arm64 armhf Multi-Arch: no Depends: python3-pyopencl (= ${binary:Version}), python3-dbg, ${shlibs:Depends}, ${misc:Depends}, ${python3:Depends}, python3-cffi-backend-dbg 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 Architecture: amd64 i386 kfreebsd-amd64 kfreebsd-i386 arm64 armhf Multi-Arch: no Depends: ${shlibs:Depends}, ${misc:Depends}, ${python:Depends}, ocl-icd-libopencl1 | libopencl1, pocl-opencl-icd | opencl-icd, python-pkg-resources, python-appdirs (>= 1.4.0), python-numpy, python-pytools (>= 2017.6), python-six Recommends: python-pyopencl-doc , python-opengl, python-mako Suggests: python-imaging-tk, python-pytest, python-matplotlib, python-pyopencl-dbg Replaces: python-pyopencl-headers Description: Python 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). Package: python-pyopencl-dbg Section: debug Architecture: amd64 i386 kfreebsd-amd64 kfreebsd-i386 arm64 armhf Multi-Arch: no Depends: python-pyopencl (= ${binary:Version}), python-dbg, ${shlibs:Depends}, ${misc:Depends}, ${python:Depends}, python-cffi-backend-dbg Description: Python 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 debug extensions build for the Python debug interpreter. Package: python-pyopencl-doc Section: doc Architecture: all Multi-Arch: foreign Build-Profiles: Depends: ${sphinxdoc:Depends}, ${misc:Depends} Recommends: python3-doc, python-numpy-doc, python-mako-doc Suggests: python-pyopencl, 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.