Result for 2FB21B7FE2C89F2042791AA7183B382644E95696

Query result

Key Value
FileName./usr/lib/python3/dist-packages/pyopencl/_cluda.py
FileSize1906
MD56137D345068C1D5771DD0EB38B3BF44C
SHA-12FB21B7FE2C89F2042791AA7183B382644E95696
SHA-256E4C1601B73D86BB112556CFA62CAC5A24AABB8DC41D2FEDF5E485BA7BBB61B7A
SSDEEP48:8aJHlxE35QHOs5exm3ogF5678ox/T3Tm6WBsBZdo:7upQHToh78yrDy+W
TLSHT1C34133292EED035114B122D8199C7846E117DE3B555A2ACC383DEACC2A2943C85FB8EC
tar:gnameroot
tar:unameroot
hashlookup:parent-total66
hashlookup:trust100

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Parents (Total: 66)

The searched file hash is included in 66 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
FileSize309312
MD5B53E7680ED137306EF772F4A191B42F5
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
PackageVersion2017.2.2-1
SHA-10A85F457F9F7C66021146FDFCD2D591958AE5917
SHA-256483108E14B5A4C7B90DDEEB309275419B8024733DC435CCA5D4DD29EF5EF2C79
Key Value
FileSize445392
MD5F0D90B4C77B023A8E9B76E7388A5BBD5
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
PackageVersion2021.1.2-1
SHA-10BE986F1DDC0785107A12D4B195CADEB9336648E
SHA-256C0CA43F496098399CDB3B9CF066A691EACCAA0E1556490C56566CE12042C486B
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
FileSize310376
MD5D1E94328CDB2A535486403B4ED2CFF5C
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).
PackageMaintainerTomasz Rybak <tomasz.rybak@post.pl>
PackageNamepython-pyopencl
PackageSectionpython
PackageVersion2016.1+git20161130-1
SHA-114EDF7CD10166774C786344FC65451B4DAF0A434
SHA-25623C1B257DDA4978442C0358DD030983A5A4698714FC026686446E00ABED17ADF
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
FileSize355994
MD542EC018BCF1292EE6D426DF00C81890A
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
PackageVersion2015.1-2build3
SHA-11A1C15CEF5FEBAD7B262E373591137A1EEF4242F
SHA-256BF41CDB8784B261E4FB18E406577FBDEAFA5C79FE07047D8F4557351F08ABE68
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
MD5A793F061D569F5FBE8104FBBFA727103
PackageArcharmv7hl
PackageDescriptionPython 3 version of python-pyopencl.
PackageMaintainerFedora Project
PackageNamepython3-pyopencl
PackageRelease1.fc34
PackageVersion2021.1.4
SHA-11D3A7F7182F9CD4F1E41786501C403A25F66F60D
SHA-256CEE738D7BDA7468A82DE4D89A7EF9C53BE59CE9AEE65F14A90DECC825B6C8B43