Result for 036AB9B76A64377A95CF4300450175822AA0AE56

Query result

Key Value
FileName./usr/lib/python3/dist-packages/pyopencl/elementwise.py
FileSize31631
MD5B6A17BE894748E7D714F95EBB945CF85
SHA-1036AB9B76A64377A95CF4300450175822AA0AE56
SHA-256AD1311CC810CCDB5FF144B4263BCFCFC30ED50AE159FB9444CF030F820C78642
SSDEEP768:mVKO+uiAab7mhughhKThNpH+769vwt3F6ESsUUi69l7l69ldB69Gk2TC8JY69pZj:mVFhu0K9NpH+769vwt3F6E1UUi69xl6x
TLSHT1D9E29556A455A8A2878BD16C2D42F405B6046B4F48047E243BACB33E3FD9735A3FB7D8
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
FileSize355028
MD5A59449FB38E2D3BB9BFFE8855C8488D6
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.
PackageMaintainerTomasz Rybak <tomasz.rybak@post.pl>
PackageNamepython3-pyopencl
PackageSectionpython
PackageVersion2014.1-3
SHA-1F2C05DC3D26C910B4FC2D0B5FF1B11E6EE4F0DA2
SHA-2566E5DF66555A0CEED3E7E2A469C65BF97B5FE5F5E21B43986FB367998FF0A390B
Key Value
FileSize352154
MD5DEB08EFB936C002AE25AA5CA0C69E39E
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.
PackageMaintainerTomasz Rybak <tomasz.rybak@post.pl>
PackageNamepython3-pyopencl
PackageSectionpython
PackageVersion2014.1-3
SHA-1A3BFE8571211118AE4686118F3CA0265319A9120
SHA-256CD43F3AA5AB40BA3C79651B7D56215F38D257FAC2EBA44ABEC2FDE1FF0FA031D