Key | Value |
---|---|
FileName | ./usr/share/doc/python-pyopencl-doc/examples/test_array.py |
FileSize | 30304 |
MD5 | B305DB56D6303095DDFD7AC430BADF07 |
SHA-1 | 03B5C2FBD2B6B634C2240B238FE180787B8931F8 |
SHA-256 | F4EAE9BAFD2872B301DD82CC9189CD88EBC7FFE5138B4C0FB4B3F1923936B44A |
SSDEEP | 768:ASbeJkpe/J0//EEJZ057FjjC0ip7ZZua7Zn4GkeZd/WeAOhywmohty8/e80pZRQY:ASbeJkpe/J0//EEJZ057FjjC0ip7ZZuP |
TLSH | T1A6D26566690D48BAE303667D06C7D8166317AA4B1A050CE5B0AC56B46FC427CF3B7BFC |
hashlookup:parent-total | 1 |
hashlookup:trust | 55 |
The searched file hash is included in 1 parent files which include package known and seen by metalookup. A sample is included below:
Key | Value |
---|---|
FileSize | 144072 |
MD5 | 62CC83A5C3328D6429BDE2B47ED014BC |
PackageDescription | 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. |
PackageMaintainer | Tomasz Rybak <tomasz.rybak@post.pl> |
PackageName | python-pyopencl-doc |
PackageSection | doc |
PackageVersion | 2016.1+git20161130-1 |
SHA-1 | E348CFC9F060778C352AF683DFBE3B2F0275C8C0 |
SHA-256 | 11A673C595E42F5E3AEF9D76031EF3F84F7E254F03BA739765F61A3C6D5558B1 |