Key | Value |
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FileName | ./usr/lib/python3/dist-packages/pyopencl-2014.1.egg-info/requires.txt |
FileSize | 48 |
MD5 | 4176DDEC5892CFE6818527D1660CA84A |
SHA-1 | 4CCAE9B03E4E2455047B7A9968E2A1A4F682AEAB |
SHA-256 | 3262F2FA1832168E1F54E9FC6D14C86D0AA024E79BBD92332CECC7CF0C8312C1 |
SSDEEP | 3:ZTzghvRG8iLF:ZQhvRG8oF |
TLSH | |
hashlookup:parent-total | 4 |
hashlookup:trust | 70 |
The searched file hash is included in 4 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 |
Key | Value |
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FileSize | 350082 |
MD5 | F79612E0871F9237EA1D5D8D8A3EF646 |
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 | Tomasz Rybak <tomasz.rybak@post.pl> |
PackageName | python-pyopencl |
PackageSection | python |
PackageVersion | 2014.1-3 |
SHA-1 | 5D93DA0DE26A6DF52D362C857411C6B3285C5F92 |
SHA-256 | 60BDB0E2982B0A816ED42742833F34255E28B9082561318B5BA5EDA622F88AD6 |
Key | Value |
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FileSize | 355648 |
MD5 | B057B3961B4F85FA32CB35504D31B302 |
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 | Tomasz Rybak <tomasz.rybak@post.pl> |
PackageName | python-pyopencl |
PackageSection | python |
PackageVersion | 2014.1-3 |
SHA-1 | AA5265D39E371911FCCC63E965B2C339BF3CE0F9 |
SHA-256 | E208BFE9AF25E90F69FD4C0D01536D6F08111CE37E69219F7BF4C271A9F64DC2 |