Result for 07400B2926BB6B4E0AE98D616653D57C5B2F0D05

Query result

Key Value
FileName./usr/lib/python2.7/dist-packages/pyopencl/ipython_ext.py
FileSize2214
MD5DD7F87DE7BAA60F987E6149E942039C1
SHA-107400B2926BB6B4E0AE98D616653D57C5B2F0D05
SHA-256B42AB62F6001BA5672E9DD6538094DAE2C3B2A00EF8453FEC47C57D2CAA3FCA5
SSDEEP48:PikTptsdpBUnScFMSsFu5/CK85asXe5oK7RcxHVhRkrpZr/xTVhpk2/roQr/2rnj:7TD8paScFMQNoeH1c9tAr/peQr/jSera
TLSHT19C419B314C84B75377C780F845A36686E62EAD639804203D7FED978A5F815A1C2E7FC2
hashlookup:parent-total2
hashlookup:trust60

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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
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