Result for 036890928362E83B633F397AC7D0BF6185EB416D

Query result

Key Value
FileName./usr/lib/python3/dist-packages/pyopencl/cl/pyopencl-random123/threefry.cl
FileSize54699
MD5A191744A31FAD84FAD0CFBC92A14B486
SHA-1036890928362E83B633F397AC7D0BF6185EB416D
SHA-256D969901B1C7980F4AFDB650BF7F3255EFD1E32E83DD64DDB0BEE7FC90E309672
SSDEEP384:trUCrUKr1DLaPiLeuHG75L4CB9U8KT7ocv/:tDxDLHe5L4CB9U8K/
TLSHT11433BCB51565C4313F634B70B67EB1D2205A42FB0A600E7EB81ED6E0AF2E4F9359B5C8
tar:gnameroot
tar:unameroot
hashlookup:parent-total87
hashlookup:trust100

Network graph view

Parents (Total: 87)

The searched file hash is included in 87 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
FileNamehttp://dl-cdn.alpinelinux.org/alpine/latest-stable//community//x86_64//py3-opencl-2025.1-r0.apk
MD5824AA915AE24D582CB9536F173EAFCA9
SHA-1062C2676CB14356ED87F3AEBA0BC916386B11610
SHA-256114303790D452F4613962382B8D16E5491FFDAD64949E1AEDBAF29D9D4050481
SSDEEP12288:6sKxbhnIR2kW5lSc+2pJQXNYc2pN6FnOp8e5dDk1N:1gdC2nic+yJY6YKDIN
TLSHT10EA42355AA465408CD409FFB0643F005DD9B06C3F73D2DBD5E6C2CFBA68982A2E418EE
Key Value
FileNamehttp://dl-cdn.alpinelinux.org/alpine/latest-stable//community//armv7//py3-opencl-2025.1-r0.apk
MD52E09509AE22CC4D005A24654E8EC47FE
SHA-1072A149D82B8686578F14C5DF04FA6377C308074
SHA-256B5ADFF9D8E42CCFFEDDC2BF824D675239C6DBE9372A76E0C3EA373063344D598
SSDEEP6144:41Wl7lwf5L5gVGi5QomWShZotRp1rEJ7I1Q7Rw0XMOzs3OkTVs9gD1dE/xJMf3J:4MNl6L5gVG2QFhZoL/Mw0XjjC1i/xJMh
TLSHT1949423F87833360E2DDE66F0BE8DC579C6EE53C10858DA94E8D462F5BA78114013B66E
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
FileNamehttp://dl-cdn.alpinelinux.org/alpine/latest-stable//community//x86_64//py3-opencl-2024.1-r1.apk
MD522B529DAFE8C9DDBA4104C3A1F1E94F2
SHA-1133385978078124A9816FD39714264EA5CBC9D12
SHA-2560F11063E6FC81C0F528BEA54ECF0D8D468D95864BB2EAD8347823BCA3628D144
SSDEEP12288:Jo19eqjpYc2Av+xK8ma/NRJO9BRXNWKm8U0BrsXPri:m1sq9P2AvWKta/BO9BR4KmfqCzi
TLSHT1C6C4238E3604D765B70661E8FEB4622E6F80D242A5F40D4B49F188BDBDE04CE84F6D5B
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
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