Key | Value |
---|---|
FileName | ./usr/share/doc/python-pyopencl/README.Debian |
FileSize | 1260 |
MD5 | 93813976D20ED23FB5243033ED611B0A |
SHA-1 | 260AA20876E06657F509EB426111D64355DF171D |
SHA-256 | 73B26C950A726DFABC814A1972C74696126C75C8B583B154C76C10F8A4C455C2 |
SSDEEP | 24:LrUv/xfYup97h6d8r/lDzkgdEpiqbV3miJbGm1SXybtijue:LAwuj4daVkgmpiqR3m60yZijue |
TLSH | T1A9211006D740523CBA8B6B0A36D14470D38D387827A2521F27EB507E3916866233FDBA |
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 | 331926 |
MD5 | E81E5FD03E72E0A60192329F3B0FF15D |
PackageDescription | Python 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). |
PackageMaintainer | Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com> |
PackageName | python-pyopencl |
PackageSection | contrib/python |
PackageVersion | 2013.2-1build1 |
SHA-1 | 1BB2D9EC3676CD0DD93AE2EA0DCAF736E5281948 |
SHA-256 | 721133C285F8183F0574A1E6CF4B80D743EB4036196436280C834282B38F0F59 |
Key | Value |
---|---|
FileSize | 338810 |
MD5 | 6D6059D3ED9F648B60C1DDCA1BB04792 |
PackageDescription | Python 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). |
PackageMaintainer | Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com> |
PackageName | python-pyopencl |
PackageSection | contrib/python |
PackageVersion | 2013.2-1build1 |
SHA-1 | 6A245824CDB6A389FC5BA5632617305F5DDC682E |
SHA-256 | 96B76F1E1CA6AFD9D020CCC408154D8913EE4D4A42A5EA6959EEA6A954B6CBD6 |