Result for 0E11A175716F7C67AE11306BFD81DC61A35D65EE

Query result

Key Value
FileName./usr/share/doc/python-pyopencl-doc/html/genindex.html
FileSize112699
MD574D5A507A5BF6E894CF2CC1E51160195
SHA-10E11A175716F7C67AE11306BFD81DC61A35D65EE
SHA-256C96DD258EE7A8D603B358E190E2D9185CFB046C2D92FF561918F4DA07BB67946
SSDEEP768:QnnGR00kahLhdApNKpVUHHpHGzymuzFl8J0xZ:QnnG5kazdJJ2
TLSHT1C5B38921F0ECA356A5F7136432C62679B742EC9651486AA8376C4AD7FF153C4082B2FF
hashlookup:parent-total1
hashlookup:trust55

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Parents (Total: 1)

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
FileSize117694
MD5011C08EDE7490C276AF155EE23E00BE1
PackageDescriptionmodule 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.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamepython-pyopencl-doc
PackageSectiondoc
PackageVersion2015.1-2build3
SHA-1BB8FF1BAD9501FCEB0FD1B0AC410BD93CFF17E93
SHA-25671A45C5B00EBC27C7699ADDB098841EB7356FCCA568EDED0266E2113C9603EFA