Result for 2BF68369DBB1A669C0B79D8EC56635D5DF44DEAB

Query result

Key Value
FileName./usr/lib/python3/dist-packages/pyopencl/elementwise.py
FileSize31840
MD5A160B8F9DF58094E5F6DA3EB3A6DFC84
SHA-12BF68369DBB1A669C0B79D8EC56635D5DF44DEAB
SHA-256091B63DD255D48D5BD5A94195E0E044463E264C5982C4319F259340749C29AB3
SSDEEP768:mVKOQ2iAab7mhughhKThNpH+769vwt3F6ESsUUi69l7l69ldB69Gk2TC8JY69pZ/:mVthu0K9NpH+769vwt3F6E1UUi69xl69
TLSHT186E28656A455A8A28787D1AC2D42F405B6046B4F48047E243BACB33E3FD9735A3FB7D8
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
FileSize355994
MD542EC018BCF1292EE6D426DF00C81890A
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
PackageSectionpython
PackageVersion2015.1-2build3
SHA-11A1C15CEF5FEBAD7B262E373591137A1EEF4242F
SHA-256BF41CDB8784B261E4FB18E406577FBDEAFA5C79FE07047D8F4557351F08ABE68
Key Value
FileSize353410
MD5B288151954F14F643B60E124DBEB5E66
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
PackageSectionpython
PackageVersion2015.1-2build3
SHA-13DAD569DA96E81A25E1B1CCA30DF502ED459441E
SHA-2564682FB4B2DB6D8FD84D0AA84433610ADB36A94181F8D9777384B12F6F3494A3B