Result for 4BCC95F3646CE1E34B78EC31D60BC5C7B663D9F4

Query result

Key Value
FileName./usr/lib/python2.7/dist-packages/pyopencl/cache.py
FileSize13897
MD5F532BF13A2DFE5010C78F5E3B1BA27DD
SHA-14BCC95F3646CE1E34B78EC31D60BC5C7B663D9F4
SHA-256A5F602B4F4570ED77F08B5FF95E6AB518A362388523D319AA96CDDA65F0E51F1
SSDEEP192:JQHTdwOVc6EeheXmSmAsxj6kEstxFZstguBGUn9Hf/1SZhkVi5CQlNcGngw3:J6d3bSmdFZkpwrk44Octg
TLSHT16C527623DD5A6423E647D0AD99C3E412966ABC67670805783CEC9784AF42834D3FB6FC
hashlookup:parent-total4
hashlookup:trust70

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Parents (Total: 4)

The searched file hash is included in 4 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
FileSize356138
MD57D54D09894533F2EE9C1FC0C3171A0F9
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
PackageSectionpython
PackageVersion2015.1-2build3
SHA-1BA82CC6F5B0178057FEB140327FA467B71999033
SHA-256420974C8BE2876362A521783552F0CACCCB5BC18755418326A990BA7ED702B4D
Key Value
FileSize358722
MD59B0BD7D482D35195FB43418F76982638
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
PackageSectionpython
PackageVersion2015.1-2build3
SHA-1948019DC6940AE601229421C149899E063BE79F8
SHA-2566163D198232E2B7AF45F89B5D0D4EE0DB2491D4B5BDC73CCE5C5A41A5A21043E
Key Value
FileSize350082
MD5F79612E0871F9237EA1D5D8D8A3EF646
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).
PackageMaintainerTomasz Rybak <tomasz.rybak@post.pl>
PackageNamepython-pyopencl
PackageSectionpython
PackageVersion2014.1-3
SHA-15D93DA0DE26A6DF52D362C857411C6B3285C5F92
SHA-25660BDB0E2982B0A816ED42742833F34255E28B9082561318B5BA5EDA622F88AD6
Key Value
FileSize355648
MD5B057B3961B4F85FA32CB35504D31B302
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).
PackageMaintainerTomasz Rybak <tomasz.rybak@post.pl>
PackageNamepython-pyopencl
PackageSectionpython
PackageVersion2014.1-3
SHA-1AA5265D39E371911FCCC63E965B2C339BF3CE0F9
SHA-256E208BFE9AF25E90F69FD4C0D01536D6F08111CE37E69219F7BF4C271A9F64DC2