Result for 30CEB9D000A6C28504CCDB04FB52B64FB1AE32D9

Query result

Key Value
FileName./usr/lib/python3/dist-packages/pyopencl/capture_call.py
FileSize5128
MD55BA69DC4D6C81D484C7D9D7037449324
SHA-130CEB9D000A6C28504CCDB04FB52B64FB1AE32D9
SHA-2565588E5DC122A22B4ACE99DD3E503F39AF958DA0C5DB337F5986AE4CAE3D3A667
SSDEEP96:iupQHTopBYvg90dlfzBz6zYpYDEahNXTMrypjCXS:9QHTSBYo90VS4mYuCXS
TLSHT17BB1831519BF01A27B87B64E0E93E4486339252F0544126C7B5EDF9A2F62033D1E7EE8
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
FileSize337880
MD5F433F87C70880B293E9469CCA58FA5A4
PackageDescriptionPython 3 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). . This package contains Python 3 modules.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamepython3-pyopencl
PackageSectioncontrib/python
PackageVersion2013.2-1build1
SHA-147747599D4C18FD96B75000209EEC3938B911DFD
SHA-256F5E0746A58A56B80F20F24AE491F9998423D97B3DFAE6EB4806E8460693F767E
Key Value
FileSize342042
MD5577C117FFBE85F32441254BD4B11A577
PackageDescriptionPython 3 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). . This package contains Python 3 modules.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamepython3-pyopencl
PackageSectioncontrib/python
PackageVersion2013.2-1build1
SHA-194363A542CE1E4EE3C23BFB50D9A33612773E3D8
SHA-2568410D243FC3FAFE15C02E6C938389980F8A42D972BE157CBE70E78DC72088BB8