Result for 21616C49F67DE8480A1C37746DABD0FEC9C3FDE1

Query result

Key Value
FileName./usr/lib/python3/dist-packages/pyopencl/clmath.py
FileSize8235
MD5637B529FBBB12ACB51530782600C49A1
SHA-121616C49F67DE8480A1C37746DABD0FEC9C3FDE1
SHA-2566BFFACC60377F85EF55A968D6DECCAC1103D688281B402EF21B477A2530AF297
SSDEEP192:NQHT0Vvh4iMIxMj/ox5fWRyHDtQxdSoyUiqGlZ9tvxQeYk0p9VV9aBsJhwLSh5LG:N61YjGSogLkp5aiwH
TLSHT1DC0273FB5A8F263EB2CA855C044CC8C1E3D0E12A30642865B75E59B48FF9558F2F8CD5
tar:gnameroot
tar:unameroot
hashlookup:parent-total13
hashlookup:trust100

Network graph view

Parents (Total: 13)

The searched file hash is included in 13 parent files which include package known and seen by metalookup. A sample is included below:

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
MD5EB0F9FBFAEA9FE809C84508A9BBB4F5F
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.
PackageMaintainerumeabot <umeabot>
PackageNamepython3-opencl
PackageRelease5.mga9
PackageVersion2019.1.2
SHA-1DD7B49AC6B39CD027BF1ADA3096A645303EB16DA
SHA-256987CCD85F8CA112B1CF2181698A082B85665EA15C19891B14D8811B4288208C2
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
MD536C68DD262F83254F1522F751B5BFAC4
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.
PackageMaintainerumeabot <umeabot>
PackageNamepython3-opencl
PackageRelease5.mga9
PackageVersion2019.1.2
SHA-1BB23674028C285EF11E2C2430C223ECDCD8754DA
SHA-256EA6B5569C0CB982F2B1A6F39A1B3250DBE86741E9C8D8ECBFF3751388CA4CE82
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
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
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
FileNamehttp://archlinux.mirror.root.lu//pool//community//./python-pyopencl-1:2020.2.1-2-x86_64.pkg.tar.zst
MD59361DB2FF7DEC6E7BDB313B2431BA3A6
SHA-17EBF6729245309F7053D90CFBCA6D39776829C5F
SHA-256AE0C98B1D6A7168B6B519DA82764C95C10C306E8C933BE36947F47562DC8F6F0
SSDEEP12288:ugsN1OL42iI//sulV9uixghvKIL8XatT3YE3y/gFRMxXiwAy4NI:ugYY7L0ulp6KIwCT3P3yIFGVMy9
TLSHT1C2C4232ADE6DA32BF67842C29A128C3B74999346D8CAECF804F6547616397033C5377D
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
MD551FFADFCBEEA8BC10D69EF5582C00F44
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.
PackageMaintainerdaviddavid <daviddavid>
PackageNamepython3-opencl
PackageRelease2.mga8
PackageVersion2019.1.2
SHA-1869F3828B15F6DC46CA473CFB23E2876EFD59F94
SHA-25617DC6B9F36F4AC1F62405A5F75667D67EC5F6D81B1A920BD6EC817ABFAA8D74F
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
MD5D45A6ABFA688CA7595A501173E50BA8A
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.
PackageMaintainerdaviddavid <daviddavid>
PackageNamepython3-opencl
PackageRelease2.mga8
PackageVersion2019.1.2
SHA-1B8BD4A3BD0573039C6683B877989486D216DA5D5
SHA-2563EB557D6576D1F25B88EC3B79965D9271A200A281C5C3CCDFD69C0F55E419517
Key Value
MD5EAF50F83D0AE3F24728D3511CE5F7E05
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.
PackageMaintainerFedora Project
PackageNamepython3-pyopencl
PackageRelease2.fc32
PackageVersion2019.1.2
SHA-1F76087EE0549F3F58889F083513085042C1E7126
SHA-2561B7B4F9E02736D340E97330F23BBB2C358F4938CF3522541370773CAB5FAC52E