Result for 182D17ED193FC2E8C45E59087FA40625D6BD0897

Query result

Key Value
FileName./usr/share/doc/python-pyopencl-doc/html/_downloads/demo.py
FileSize940
MD5DE15465B865256BB2D605B2952E59443
SHA-1182D17ED193FC2E8C45E59087FA40625D6BD0897
SHA-25665EEAB9A0C05F701ADE962161B4431F8DB5EFFC067E762519222A8CFFF86FA72
SSDEEP24:m62B9+lirSliXGxrQBRKpAJhKTEvnKK26OedYWs:ltduY8RuShKTEvnK36ldYD
TLSHT1F7114433150E8D6D4980F4DD854BC3988BBA2594F2DC6C25127C8560CFE2A7FD3C2875
hashlookup:parent-total11
hashlookup:trust100

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Parents (Total: 11)

The searched file hash is included in 11 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
FileSize138972
MD5253D5E1E36309EC163963A248D3C43CB
PackageDescriptionmodule 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.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamepython-pyopencl-doc
PackageSectiondoc
PackageVersion2017.2.2-1
SHA-164EB415C20660425DF4D2A3C09FC3B5E29942DBD
SHA-256F19819202B2A6EC4E754210D03E0EDB70277255C81FEB6894E469D3DA82E6014
Key Value
MD52AB78712F3E9E71FEBD841CF6443B43D
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.
PackageMaintainershlomif <shlomif>
PackageNamepython3-opencl
PackageRelease1.mga7
PackageVersion2018.2.2
SHA-1DAAB9AB2208277BBE1ADC83A10571299F3B3A037
SHA-256F6544A767472A1D7182963CFF2E5C626A955C5D61BBE142A29DC169B6E074002
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
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
MD52998C947D182942F7F6F038563028D87
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 2 version.
PackageMaintainershlomif <shlomif>
PackageNamepython2-opencl
PackageRelease1.mga7
PackageVersion2018.2.2
SHA-1C07EC421D9B05F9D02F86EA72B8CFF9361368FED
SHA-25699EB5ED998D1529265C5B956EE01D8C06C9880BE18F1E64C71F3AFA87FE36552
Key Value
FileSize144072
MD562CC83A5C3328D6429BDE2B47ED014BC
PackageDescriptionmodule 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.
PackageMaintainerTomasz Rybak <tomasz.rybak@post.pl>
PackageNamepython-pyopencl-doc
PackageSectiondoc
PackageVersion2016.1+git20161130-1
SHA-1E348CFC9F060778C352AF683DFBE3B2F0275C8C0
SHA-25611A673C595E42F5E3AEF9D76031EF3F84F7E254F03BA739765F61A3C6D5558B1
Key Value
FileSize151772
MD58497F7A0F21305922F029D24D1FC41A2
PackageDescriptionmodule 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.
PackageMaintainerDebian OpenCL Maintainers <pkg-opencl-devel@lists.alioth.debian.org>
PackageNamepython-pyopencl-doc
PackageSectiondoc
PackageVersion2018.2.2-1
SHA-1F76954C81742CFA9CEE624B89FF5ADCED8FBF86F
SHA-2565E8D3EA8FA4CE4E3B72B30B08930B03AE026B5228B64876697E8F623687F9D4D
Key Value
MD5437A1653997E72352CE4D2F16A37384F
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 2 version.
PackageMaintainershlomif <shlomif>
PackageNamepython2-opencl
PackageRelease1.mga7
PackageVersion2018.2.2
SHA-1FDE8CF577237F30B5A4AC03690A9B39B278073D0
SHA-256F50B76CB8CF770E1107F3B5AFE339FCA7B39432BE0F4A9ED5F2BE639A5F08015
Key Value
MD5930A0A8828A4B85D8ECA4A2BEA8FB208
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.
PackageMaintainershlomif <shlomif>
PackageNamepython3-opencl
PackageRelease1.mga7
PackageVersion2018.2.2
SHA-17C57388BC7D5A3C70CCC3EE984B7423DF4B4C37A
SHA-256555204EB6C249F72AA6B76CB73D5433F08A18659D6F856DC41BEECD8AAFBE168
Key Value
MD532F46AAD5D2188A8423FF9A5DAE821D6
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.
PackageMaintainershlomif <shlomif>
PackageNamepython3-opencl
PackageRelease1.mga7
PackageVersion2018.2.2
SHA-17DC482BBEE767DCE0772FEE9FC8BE83BC22688D4
SHA-256DE15CB2F9DC2E99861D6DD969BCA8CD09E5A59522AE1DE940679E42E06EE6445
Key Value
MD57096AA7DF140232846D45810DF899B37
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 2 version.
PackageMaintainershlomif <shlomif>
PackageNamepython2-opencl
PackageRelease1.mga7
PackageVersion2018.2.2
SHA-1EFB10ABB0415363017F22C4B1FC6FDD060FBB791
SHA-2569DA0DE4FD44E0CBDE05952E13EA065FD88031382F77B9BABBF1FCED0A132ED7F