Key | Value |
---|---|
FileName | ./usr/lib/python3/dist-packages/pyopencl/tools.py |
FileSize | 29708 |
MD5 | 718031ECA1E71101B1457A3E16D364CB |
SHA-1 | 1348D64AE94D15D20D79AB85AE140FF351B02D41 |
SHA-256 | A2F1DF59A71D149FA9CABFF0CE9E22A16F5AB74C5E743F55EE9F322A0262CBDB |
SSDEEP | 768:XKHpp+U/kAD523IM8Qcw3QSSKY6K0Le0FPeSXH1T8CwO6CUKtLaoosiMG51:XKH1/kADM3IM8QcwAdKlK8e05eSXH1QJ |
TLSH | T1FFD2A71568AAD052A393D53E5CC7F413A32A6E175B08507876FCA3792F51F24C2E2BEC |
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 |