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FileName | ./usr/share/doc/python3-pyopencl/changelog.Debian.gz |
FileSize | 2481 |
MD5 | 44A1039ED236DDEC6751604559632EB4 |
SHA-1 | F5B5F656598998E045B8034D4BA2B639B374780B |
SHA-256 | 3262A352662F3454C498C25736C578A52F998A2E2C86422655C60B165055F449 |
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TLSH | T103510940E8D2961AE4E09FB76E26200E200E276BC463EDE47C9C27B294771587ABA565 |
hashlookup:parent-total | 9 |
hashlookup:trust | 95 |
The searched file hash is included in 9 parent files which include package known and seen by metalookup. A sample is included below:
Key | Value |
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FileSize | 4589654 |
MD5 | 114B01C9B99C92F01B881BB142B8AE81 |
PackageDescription | Python 3 module to access OpenCL API (debug extensions) 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 extensions build for the Python 3 debug interpreter. |
PackageMaintainer | Tomasz Rybak <tomasz.rybak@post.pl> |
PackageName | python3-pyopencl-dbg |
PackageSection | debug |
PackageVersion | 2014.1-3 |
SHA-1 | 37F07DA128E027ECA7DD05109E26A97F99C7B1DF |
SHA-256 | 7DEBB8165B791849D468E44806A6282BD7E25ADF07ACE3D96C741BCE04A23674 |
Key | Value |
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FileSize | 4926684 |
MD5 | 9E5761B7E947007444BF69E8AF4F625D |
PackageDescription | Python module to access OpenCL API (debug extensions) 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 debug extensions build for the Python debug interpreter. |
PackageMaintainer | Tomasz Rybak <tomasz.rybak@post.pl> |
PackageName | python-pyopencl-dbg |
PackageSection | debug |
PackageVersion | 2014.1-3 |
SHA-1 | FC84F9B9C13954757D7C75F9FF418BD7A19E52E6 |
SHA-256 | 91B2DDFECC593763F1CB9BE972234F10A49B920B65EE371569A001CA95B50F60 |
Key | Value |
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FileSize | 118992 |
MD5 | 0413709E43BB77E1F3EB6C048EECE9F3 |
PackageDescription | module to access OpenCL parallel computation API (documentation) 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 HTML documentation and example scripts. |
PackageMaintainer | Tomasz Rybak <tomasz.rybak@post.pl> |
PackageName | python-pyopencl-doc |
PackageSection | doc |
PackageVersion | 2014.1-3 |
SHA-1 | 7386A0D5612F89AA3404E55A2EA6375B8A03E742 |
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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 |
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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 |
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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 |
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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 |
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PackageDescription | Python 3 module to access OpenCL API (debug extensions) 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 extensions build for the Python 3 debug interpreter. |
PackageMaintainer | Tomasz Rybak <tomasz.rybak@post.pl> |
PackageName | python3-pyopencl-dbg |
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PackageVersion | 2014.1-3 |
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PackageDescription | Python module to access OpenCL API (debug extensions) 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 debug extensions build for the Python debug interpreter. |
PackageMaintainer | Tomasz Rybak <tomasz.rybak@post.pl> |
PackageName | python-pyopencl-dbg |
PackageSection | debug |
PackageVersion | 2014.1-3 |
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