Result for 1521A985192CD4273EC3EF8FBF48B37A2F54675A

Query result

Key Value
FileName./usr/share/doc/python-pyopencl-doc/examples/demo-struct-reduce.py
FileSize1856
MD5AC3B169C8FA1618D55BB19BDA2A4D495
SHA-11521A985192CD4273EC3EF8FBF48B37A2F54675A
SHA-256BB31586DDE93AD5811F504D5865DBA0A9DCE785032C94F16C5AB316752C03C2C
SSDEEP48:Pv1CRXoZzyeMBzU8RZVA+OCLO/K0vOEqO/SgvONObO8OTlEBeLo+I+SWM5Itqb6q:Ho+ZzyeMBzUAZV0BeLZSitS/
TLSHT10231C3D65C033A2A53DB743C8B99A19DDF123A97890864C0B79C53B4BF41324B1753B4
hashlookup:parent-total23
hashlookup:trust100

Network graph view

Parents (Total: 23)

The searched file hash is included in 23 parent files which include package known and seen by metalookup. A sample is included below:

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
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
MD5A5C4B5C0366D95E175E1951692B268CC
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.
PackageMaintainerdaviddavid <daviddavid>
PackageNamepython3-opencl
PackageRelease2.mga8
PackageVersion2019.1.2
SHA-155498BBE8CE4ED99E513ED2059F4447F961FC902
SHA-25677CB21C5599D77657F735D8E73680A2DFA9D7DFE1244A2B7CA685FF7D10ECDE5
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
MD57C4EFB35420ACD17E049F673AB39344B
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.
PackageMaintainerdaviddavid <daviddavid>
PackageNamepython3-opencl
PackageRelease2.mga8
PackageVersion2019.1.2
SHA-179070F7702532C3F2362F7525CABA9EC3A5C0FEF
SHA-2567EED671564A6BFEA0E84B5AF93F871B7FEDD45157F01C7260D7876FD9C1C2769
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