Parents (Total: 16)

The searched file hash is included in 16 parent files which include package known and seen by metalookup. A sample is included below:

Key	Value
FileSize	401060
MD5	3CDE679683E6B7F607318E6D03C2B9FB
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	Debian OpenCL Maintainers <pkg-opencl-devel@lists.alioth.debian.org>
PackageName	python-pyopencl
PackageSection	python
PackageVersion	2018.2.2-1
SHA-1	023474B71A21507D7A97F2C4CD7A06EB0C90EB62
SHA-256	FE73876745574F7F3598AC898049990C27756580708E8878F013F668033A7F57

Key	Value
MD5	7E298518DDD7E8DBA13EA7A7A0D22495
PackageArch	aarch64
PackageDescription	PyOpenCL makes it possible to access GPUs and other massively parallel compute devices from Python. Specifically, PyOpenCL provides Pythonic access to the OpenCL parallel computation API in a manner similar to the sister project `PyCUDA`. Python 3 version.
PackageMaintainer	shlomif <shlomif>
PackageName	python3-opencl
PackageRelease	1.mga7
PackageVersion	2018.2.2
SHA-1	156708B87AF3B5A2B2261D14D01B2B2C10BBEEA9
SHA-256	CF72D1A712E66EE2D9F6319E0CCFA3E5FF59E465202107F2CD09A67CC35B4AC4

Key	Value
MD5	B2C860F63E0E1CC63961AAC2057848EB
PackageArch	aarch64
PackageDescription	PyOpenCL makes it possible to access GPUs and other massively parallel compute devices from Python. Specifically, PyOpenCL provides Pythonic access to the OpenCL parallel computation API in a manner similar to the sister project `PyCUDA`. Python 2 version.
PackageMaintainer	shlomif <shlomif>
PackageName	python2-opencl
PackageRelease	1.mga7
PackageVersion	2018.2.2
SHA-1	1C34680946B3D6B65E18E87005AAD0DD8D498846
SHA-256	0775E2444120F45BE1C2B7E420393F9A5312807B8A50C4DC560819C49B503187

Key	Value
FileSize	399520
MD5	C63D296CB23A8DE064622AC03A7CD5F3
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	Debian OpenCL Maintainers <pkg-opencl-devel@lists.alioth.debian.org>
PackageName	python3-pyopencl
PackageSection	python
PackageVersion	2018.2.2-1
SHA-1	220B7C8889F2DE84E2882F87FEDC4D221CCBBB7D
SHA-256	DB9FB580F919EA61460D1EC7E634274BCAABB8512C87CDBEDAAF19B9C546D3B7

Key	Value
FileSize	371788
MD5	70B30A3620D660FFA7F5835D1A10614B
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	Debian OpenCL Maintainers <pkg-opencl-devel@lists.alioth.debian.org>
PackageName	python-pyopencl
PackageSection	python
PackageVersion	2018.2.2-1
SHA-1	4324A31C89E133B1E341ADCC4F13BAE6788BC86E
SHA-256	AF3A8CF5B942E9F213B71400E99480217A861184330130A518C676075D549C4C

Key	Value
MD5	930A0A8828A4B85D8ECA4A2BEA8FB208
PackageArch	i586
PackageDescription	PyOpenCL makes it possible to access GPUs and other massively parallel compute devices from Python. Specifically, PyOpenCL provides Pythonic access to the OpenCL parallel computation API in a manner similar to the sister project `PyCUDA`. Python 3 version.
PackageMaintainer	shlomif <shlomif>
PackageName	python3-opencl
PackageRelease	1.mga7
PackageVersion	2018.2.2
SHA-1	7C57388BC7D5A3C70CCC3EE984B7423DF4B4C37A
SHA-256	555204EB6C249F72AA6B76CB73D5433F08A18659D6F856DC41BEECD8AAFBE168

Key	Value
FileSize	370996
MD5	9E6EC6AF5C9C90C67248531929C9371D
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	Debian OpenCL Maintainers <pkg-opencl-devel@lists.alioth.debian.org>
PackageName	python3-pyopencl
PackageSection	python
PackageVersion	2018.2.2-1
SHA-1	7D68B18FEDDCD0BD1D834188131165174C3B7CF2
SHA-256	CD32683BC7A33A037C324DB461914579B2B40AAD9745344C9B726D7AB6228A39

Key	Value
MD5	32F46AAD5D2188A8423FF9A5DAE821D6
PackageArch	armv7hl
PackageDescription	PyOpenCL makes it possible to access GPUs and other massively parallel compute devices from Python. Specifically, PyOpenCL provides Pythonic access to the OpenCL parallel computation API in a manner similar to the sister project `PyCUDA`. Python 3 version.
PackageMaintainer	shlomif <shlomif>
PackageName	python3-opencl
PackageRelease	1.mga7
PackageVersion	2018.2.2
SHA-1	7DC482BBEE767DCE0772FEE9FC8BE83BC22688D4
SHA-256	DE15CB2F9DC2E99861D6DD969BCA8CD09E5A59522AE1DE940679E42E06EE6445

Key	Value
FileSize	369268
MD5	3A4040C4994F526E9690CA80A83BBB5F
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	Debian OpenCL Maintainers <pkg-opencl-devel@lists.alioth.debian.org>
PackageName	python-pyopencl
PackageSection	python
PackageVersion	2018.2.2-1
SHA-1	A186A29CE27F3381960DA9270C4988FA8A9436F5
SHA-256	582CDC875483FA912C6B4EE6F0DEFE01F6D0A9350A32C5D2EE736BF6161A705D

Key	Value
FileSize	411724
MD5	D75C4245AD134721FB967D710D571591
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	Debian OpenCL Maintainers <pkg-opencl-devel@lists.alioth.debian.org>
PackageName	python3-pyopencl
PackageSection	python
PackageVersion	2018.2.2-1
SHA-1	B3425014047B0F8CF3D017C89517DD5D5BF361F4
SHA-256	8F87DBE77D2B4CA6AF31A33033F026F0077CE55A590E0BD591F3F220FCD51691