Package: python-pyopencl
Source: pyopencl
Version: 2015.1-2build3
Architecture: i386
Maintainer: Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
Installed-Size: 1823
Depends: libboost-python1.58.0, libc6 (>= 2.4), libgcc1 (>= 1:3.0), libstdc++6 (>= 5.2), ocl-icd-libopencl1 | libopencl1, ocl-icd-libopencl1 (>= 1.0) | libopencl-1.1-1, ocl-icd-libopencl1 (>= 1.0) | libopencl-1.2-1, python-numpy (>= 1:1.8.0), python-numpy-abi9, python (<< 2.8), python (>= 2.7~), python-appdirs, python-decorator, python-pytools (>= 2014.2), python:any (>= 2.7.5-5~), mesa-opencl-icd | beignet | opencl-icd, python-pkg-resources
Recommends: python-pyopencl-doc, python-opengl, python-mako
Suggests: python-imaging-tk, python-pytest, python-matplotlib, python-pyopencl-dbg
Replaces: python-pyopencl-headers
Section: python
Priority: optional
Homepage: http://mathema.tician.de/software/pyopencl
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).
Original-Maintainer: Tomasz Rybak <tomasz.rybak@post.pl>
