Key | Value |
---|---|
FileName | ./usr/lib/python3/dist-packages/pyopencl/elementwise.py |
FileSize | 31631 |
MD5 | B6A17BE894748E7D714F95EBB945CF85 |
SHA-1 | 036AB9B76A64377A95CF4300450175822AA0AE56 |
SHA-256 | AD1311CC810CCDB5FF144B4263BCFCFC30ED50AE159FB9444CF030F820C78642 |
SSDEEP | 768:mVKO+uiAab7mhughhKThNpH+769vwt3F6ESsUUi69l7l69ldB69Gk2TC8JY69pZj:mVFhu0K9NpH+769vwt3F6E1UUi69xl6x |
TLSH | T1D9E29556A455A8A2878BD16C2D42F405B6046B4F48047E243BACB33E3FD9735A3FB7D8 |
hashlookup:parent-total | 2 |
hashlookup:trust | 60 |
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 |
---|---|
FileSize | 355028 |
MD5 | A59449FB38E2D3BB9BFFE8855C8488D6 |
PackageDescription | Python 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. |
PackageMaintainer | Tomasz Rybak <tomasz.rybak@post.pl> |
PackageName | python3-pyopencl |
PackageSection | python |
PackageVersion | 2014.1-3 |
SHA-1 | F2C05DC3D26C910B4FC2D0B5FF1B11E6EE4F0DA2 |
SHA-256 | 6E5DF66555A0CEED3E7E2A469C65BF97B5FE5F5E21B43986FB367998FF0A390B |
Key | Value |
---|---|
FileSize | 352154 |
MD5 | DEB08EFB936C002AE25AA5CA0C69E39E |
PackageDescription | Python 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. |
PackageMaintainer | Tomasz Rybak <tomasz.rybak@post.pl> |
PackageName | python3-pyopencl |
PackageSection | python |
PackageVersion | 2014.1-3 |
SHA-1 | A3BFE8571211118AE4686118F3CA0265319A9120 |
SHA-256 | CD43F3AA5AB40BA3C79651B7D56215F38D257FAC2EBA44ABEC2FDE1FF0FA031D |