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[ Source: pyopencl  ]

Package: python3-pyopencl (2018.2.2-1)

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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.

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Architecture Package Size Installed Size Files
amd64 390.2 kB1,834.0 kB [list of files]
arm64 362.3 kB1,846.0 kB [list of files]
armhf 358.0 kB1,515.0 kB [list of files]
i386 402.1 kB1,882.0 kB [list of files]