Result for 3B5643317511931AA95BFC6EDCC00C1635EDC156

Query result

Key Value
FileName./usr/lib/python3/dist-packages/pyopencl/compyte/dtypes.py
FileSize8939
MD5DE3E7E3A88650181CDB6DAEF686EAE59
SHA-13B5643317511931AA95BFC6EDCC00C1635EDC156
SHA-2562669421CEFD0B3C0708B5289E1E3F631CD9418E27BA91CC52462FEBD08F94E05
SSDEEP192:jQH5bujh5AYhNckEDD3vumcQLrQZQ+Q2QeQtcjDXQrQ1QFNQKfQ+QdQeQqQCqCQt:jc6vEuoV/3wHGk+
TLSHT1A5021F4F5900D4235793463E1E9BB481A2173BCFA5C47824BBADA0F86F06319D3F5B99
tar:gnameroot
tar:unameroot
hashlookup:parent-total29
hashlookup:trust100

Network graph view

Parents (Total: 29)

The searched file hash is included in 29 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
FileSize401060
MD53CDE679683E6B7F607318E6D03C2B9FB
PackageDescriptionPython 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).
PackageMaintainerDebian OpenCL Maintainers <pkg-opencl-devel@lists.alioth.debian.org>
PackageNamepython-pyopencl
PackageSectionpython
PackageVersion2018.2.2-1
SHA-1023474B71A21507D7A97F2C4CD7A06EB0C90EB62
SHA-256FE73876745574F7F3598AC898049990C27756580708E8878F013F668033A7F57
Key Value
MD5D4184C9287EB8DA9B879B76531001C46
PackageArchx86_64
PackageDescriptionPyOpenCL 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.
PackageMaintainerFedora Project
PackageNamepython3-pyopencl
PackageRelease2.fc32
PackageVersion2019.1.2
SHA-112BBD6282D213018E2DA90B4CF18600FF121AF3A
SHA-2560D0810C929C88110149C1AC9221381489AC493F728EC8533681DF77037D95708
Key Value
MD57E298518DDD7E8DBA13EA7A7A0D22495
PackageArchaarch64
PackageDescriptionPyOpenCL 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.
PackageMaintainershlomif <shlomif>
PackageNamepython3-opencl
PackageRelease1.mga7
PackageVersion2018.2.2
SHA-1156708B87AF3B5A2B2261D14D01B2B2C10BBEEA9
SHA-256CF72D1A712E66EE2D9F6319E0CCFA3E5FF59E465202107F2CD09A67CC35B4AC4
Key Value
MD5A3402A04DC7B9627AEF1DF40100D8BA7
PackageArcharmv7hl
PackageDescriptionPyOpenCL 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.
PackageMaintainerumeabot <umeabot>
PackageNamepython3-opencl
PackageRelease5.mga9
PackageVersion2019.1.2
SHA-11AB7CA1E3661928291E3912BC449921279CD293A
SHA-25659DBAEF9CC50AA2B90CD62D13CF60DEBF596566E4CB5271B2DAD3681E19BCE83
Key Value
MD5B2C860F63E0E1CC63961AAC2057848EB
PackageArchaarch64
PackageDescriptionPyOpenCL 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.
PackageMaintainershlomif <shlomif>
PackageNamepython2-opencl
PackageRelease1.mga7
PackageVersion2018.2.2
SHA-11C34680946B3D6B65E18E87005AAD0DD8D498846
SHA-2560775E2444120F45BE1C2B7E420393F9A5312807B8A50C4DC560819C49B503187
Key Value
FileSize399520
MD5C63D296CB23A8DE064622AC03A7CD5F3
PackageDescriptionPython 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.
PackageMaintainerDebian OpenCL Maintainers <pkg-opencl-devel@lists.alioth.debian.org>
PackageNamepython3-pyopencl
PackageSectionpython
PackageVersion2018.2.2-1
SHA-1220B7C8889F2DE84E2882F87FEDC4D221CCBBB7D
SHA-256DB9FB580F919EA61460D1EC7E634274BCAABB8512C87CDBEDAAF19B9C546D3B7
Key Value
FileSize413532
MD5C5F800666EB698CB10FBF286562514CC
PackageDescriptionPython 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.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamepython3-pyopencl
PackageSectionpython
PackageVersion2019.1.1-1build1
SHA-133F0AD4E15DE534D58868CC0ACB7E3665F447685
SHA-25698DF425D0C6F144F4885007CFD6763A6E6A9383C153C80EB8A5E79D5D99AF091
Key Value
MD50577E19BECF363E8D3F10287882D2852
PackageArchi586
PackageDescriptionPyOpenCL 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.
PackageMaintainerumeabot <umeabot>
PackageNamepython3-opencl
PackageRelease5.mga9
PackageVersion2019.1.2
SHA-138394D90D351338B3DD49DB6D35388BF64E96095
SHA-256A5DA1DAA59C3A1B685E5C4BB57386E689362C2E89C80F8FF6BED3B067E99D797
Key Value
MD576E53FB6C6EB054FA9B890AB33621CB1
PackageArchaarch64
PackageDescriptionPyOpenCL 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.
PackageMaintainerFedora Project
PackageNamepython3-pyopencl
PackageRelease2.fc32
PackageVersion2019.1.2
SHA-141D3A0D357FD099DC455307B7554FF8612F62C16
SHA-256691E0F0D38745BE3B1BDC1BA05E3B92AC0670987C6A4673913307E93C6E13D99
Key Value
FileSize371788
MD570B30A3620D660FFA7F5835D1A10614B
PackageDescriptionPython 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).
PackageMaintainerDebian OpenCL Maintainers <pkg-opencl-devel@lists.alioth.debian.org>
PackageNamepython-pyopencl
PackageSectionpython
PackageVersion2018.2.2-1
SHA-14324A31C89E133B1E341ADCC4F13BAE6788BC86E
SHA-256AF3A8CF5B942E9F213B71400E99480217A861184330130A518C676075D549C4C