Result for 0B0CC0D0F3BE20020B074D820692E5C1CED5032F

Query result

Key Value
FileName./usr/share/doc/python-pyopencl-doc/examples/test_array.py
FileSize36238
MD5C880CE10BE867A4D7369AD2752473390
SHA-10B0CC0D0F3BE20020B074D820692E5C1CED5032F
SHA-2566391072A4CA961EA6EBBCE5EB8BFA9B88BB49A7117E5F2582016E58A8793BC6C
SSDEEP768:ASGeJkpe/J0//EEJZ057FjjThip7ZZua7Zn4GkeZd/WeAOhywmohty412hiYZRNR:ASGeJkpe/J0//EEJZ057FjjThip7ZZuH
TLSHT1FBF285A9690D487AE303567D06C7D80A6317BA975A0508E5B1AC56B06FC4378F3B3EFC
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
FileSize145744
MD58C1252FF063EB4F7DCEBF06016AB62BE
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
PackageVersion2019.1.1-1build1
SHA-1BF10394DE548969CB5D856783F896D7E77A26CD7
SHA-256F1ABBB87F698DDE724703B2A6073134FE58E1E1DA275B40544BEDB19CB72ED27