Parents (Total: 6)

The searched file hash is included in 6 parent files which include package known and seen by metalookup. A sample is included below:

Key	Value
MD5	9E09C1602C9FDC9C01709C60F89FA21D
PackageArch	x86_64
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	Fedora Project
PackageName	python3-pyopencl
PackageRelease	1.fc33
PackageVersion	2020.2.2
SHA-1	4B44B6B18CC24A60703F13E3230E567DD255F0B7
SHA-256	0AC1230CDE201F09EEDA1E0B31D1D707A70730CF450D6F90819AB550CABFAC3E

Key	Value
FileSize	156616
MD5	221C04AEFEF8ADB58391188E1AE55442
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	Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageName	python-pyopencl-doc
PackageSection	doc
PackageVersion	2021.1.2-1build1
SHA-1	424B6C28A23E395BE3920A7CBDC5263093235930
SHA-256	CE87337B8984840566401AA903A8B1CA173405193C5DADF2E52DD6A1F014EF4C

Key	Value
MD5	550D36DFE813F921E01471FC38C98B5E
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	Fedora Project
PackageName	python3-pyopencl
PackageRelease	1.fc33
PackageVersion	2020.2.2
SHA-1	530F5C97D2F44CD0981B4ABB8A4A9FCB8B17ED49
SHA-256	BC50AFCDE0D388734F07B3AAA8AE83492B9563B87F1E5A2B34160A579637B5C2

Key	Value
FileSize	161668
MD5	5BB305CEAE7FF11DC3CDD6F49C9AD1B1
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	Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageName	python-pyopencl-doc
PackageSection	doc
PackageVersion	2021.1.2-1build2
SHA-1	93FF16327A6E3AA91D23C4826438E3D46042289D
SHA-256	1BA1190DB7E7C5F8634F00B0F03F33B1278B62CC8D6B9A8CC31119704DA4BC78

Key	Value
FileSize	159052
MD5	431CE50A117D6320D3BCD3839D099DD9
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	Debian OpenCL Maintainers <pkg-opencl-devel@lists.alioth.debian.org>
PackageName	python-pyopencl-doc
PackageSection	doc
PackageVersion	2021.1.2-1
SHA-1	2035E3737C63B956A1B37D5ACD8B5D82562A247D
SHA-256	91B750B5427B63695A218B4395ED323139F69898D3A404D88AEFB743959D49AD

Key	Value
MD5	CF6A4192D5AB1BDF623C9BCEDF4EEE15
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	Fedora Project
PackageName	python3-pyopencl
PackageRelease	1.fc33
PackageVersion	2020.2.2
SHA-1	3C10D81B9F93C92B1D3AFB6BAEB44707DA4C27C9
SHA-256	D75730643FE3A8618B1619214A9CED7FDF7B2564AAE5F22BA26BB479833E86C0