Result for 535D3E4CBF26A74CFB1135370BA18CF9D28DC084

Query result

Key Value
FileName./usr/lib/python2.7/dist-packages/pyopencl/cache.py
FileSize13924
MD514AF2D016107B4D45D4E4B96D594233B
SHA-1535D3E4CBF26A74CFB1135370BA18CF9D28DC084
SHA-25602CFCA99CC2062658A0AB405845C23912FBCD6A4FB045CDB1D9FD395A3C919E8
SSDEEP192:JQHTdwOVc6EeheXmSmAsxj6kEstxFZstguBGUi9Hf/1SZhkVi5CQlNcGngw3:J6d3bSmdFZkpw8k44Octg
TLSHT1D2527612D95A6423E647D0AD99C3E412966ABC67670805783CECA780AF42934D3FB6FC
hashlookup:parent-total2
hashlookup:trust60

Network graph view

Parents (Total: 2)

The searched file hash is included in 2 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
FileSize331926
MD5E81E5FD03E72E0A60192329F3B0FF15D
PackageDescriptionPython 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).
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamepython-pyopencl
PackageSectioncontrib/python
PackageVersion2013.2-1build1
SHA-11BB2D9EC3676CD0DD93AE2EA0DCAF736E5281948
SHA-256721133C285F8183F0574A1E6CF4B80D743EB4036196436280C834282B38F0F59
Key Value
FileSize338810
MD56D6059D3ED9F648B60C1DDCA1BB04792
PackageDescriptionPython 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).
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamepython-pyopencl
PackageSectioncontrib/python
PackageVersion2013.2-1build1
SHA-16A245824CDB6A389FC5BA5632617305F5DDC682E
SHA-25696B76F1E1CA6AFD9D020CCC408154D8913EE4D4A42A5EA6959EEA6A954B6CBD6