Key | Value |
---|---|
FileName | ./usr/lib/python3/dist-packages/pyopencl/bitonic_sort_templates.py |
FileSize | 16107 |
MD5 | EF3D88EB8C079640729FB39AB9E6429C |
SHA-1 | 02B4316BB36BB0AE08B2240668663C805328A112 |
SHA-256 | 1867D1531AAF96B1EB7A856233563E7AD981A31974176DC3FDC2AFD304B3EBCF |
SSDEEP | 384:vritKB+6AgRX7jjB48BNBCBy1BFfQMr7/kcJPh/kpUNNrQwDBlhlok14p:vZ+5mX7jjBtBNBCBqBFt/hv/2Uz/DBhY |
TLSH | T15172622239A90551797624DFEB9174003A5AF13FA6E8EEA0393E41451F52F2C23FE79C |
tar:gname | root |
tar:uname | root |
hashlookup:parent-total | 62 |
hashlookup:trust | 100 |
The searched file hash is included in 62 parent files which include package known and seen by metalookup. A sample is included below:
Key | Value |
---|---|
FileSize | 401060 |
MD5 | 3CDE679683E6B7F607318E6D03C2B9FB |
PackageDescription | Python 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). |
PackageMaintainer | Debian OpenCL Maintainers <pkg-opencl-devel@lists.alioth.debian.org> |
PackageName | python-pyopencl |
PackageSection | python |
PackageVersion | 2018.2.2-1 |
SHA-1 | 023474B71A21507D7A97F2C4CD7A06EB0C90EB62 |
SHA-256 | FE73876745574F7F3598AC898049990C27756580708E8878F013F668033A7F57 |
Key | Value |
---|---|
FileSize | 309312 |
MD5 | B53E7680ED137306EF772F4A191B42F5 |
PackageDescription | Python 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. |
PackageMaintainer | Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com> |
PackageName | python3-pyopencl |
PackageSection | python |
PackageVersion | 2017.2.2-1 |
SHA-1 | 0A85F457F9F7C66021146FDFCD2D591958AE5917 |
SHA-256 | 483108E14B5A4C7B90DDEEB309275419B8024733DC435CCA5D4DD29EF5EF2C79 |
Key | Value |
---|---|
FileSize | 445392 |
MD5 | F0D90B4C77B023A8E9B76E7388A5BBD5 |
PackageDescription | Python 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. |
PackageMaintainer | Debian OpenCL Maintainers <pkg-opencl-devel@lists.alioth.debian.org> |
PackageName | python3-pyopencl |
PackageSection | python |
PackageVersion | 2021.1.2-1 |
SHA-1 | 0BE986F1DDC0785107A12D4B195CADEB9336648E |
SHA-256 | C0CA43F496098399CDB3B9CF066A691EACCAA0E1556490C56566CE12042C486B |
Key | Value |
---|---|
MD5 | D4184C9287EB8DA9B879B76531001C46 |
PackageArch | x86_64 |
PackageDescription | PyOpenCL 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. |
PackageMaintainer | Fedora Project |
PackageName | python3-pyopencl |
PackageRelease | 2.fc32 |
PackageVersion | 2019.1.2 |
SHA-1 | 12BBD6282D213018E2DA90B4CF18600FF121AF3A |
SHA-256 | 0D0810C929C88110149C1AC9221381489AC493F728EC8533681DF77037D95708 |
Key | Value |
---|---|
FileSize | 310376 |
MD5 | D1E94328CDB2A535486403B4ED2CFF5C |
PackageDescription | Python 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). |
PackageMaintainer | Tomasz Rybak <tomasz.rybak@post.pl> |
PackageName | python-pyopencl |
PackageSection | python |
PackageVersion | 2016.1+git20161130-1 |
SHA-1 | 14EDF7CD10166774C786344FC65451B4DAF0A434 |
SHA-256 | 23C1B257DDA4978442C0358DD030983A5A4698714FC026686446E00ABED17ADF |
Key | Value |
---|---|
MD5 | 7E298518DDD7E8DBA13EA7A7A0D22495 |
PackageArch | aarch64 |
PackageDescription | PyOpenCL 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. |
PackageMaintainer | shlomif <shlomif> |
PackageName | python3-opencl |
PackageRelease | 1.mga7 |
PackageVersion | 2018.2.2 |
SHA-1 | 156708B87AF3B5A2B2261D14D01B2B2C10BBEEA9 |
SHA-256 | CF72D1A712E66EE2D9F6319E0CCFA3E5FF59E465202107F2CD09A67CC35B4AC4 |
Key | Value |
---|---|
MD5 | A3402A04DC7B9627AEF1DF40100D8BA7 |
PackageArch | armv7hl |
PackageDescription | PyOpenCL 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. |
PackageMaintainer | umeabot <umeabot> |
PackageName | python3-opencl |
PackageRelease | 5.mga9 |
PackageVersion | 2019.1.2 |
SHA-1 | 1AB7CA1E3661928291E3912BC449921279CD293A |
SHA-256 | 59DBAEF9CC50AA2B90CD62D13CF60DEBF596566E4CB5271B2DAD3681E19BCE83 |
Key | Value |
---|---|
MD5 | B2C860F63E0E1CC63961AAC2057848EB |
PackageArch | aarch64 |
PackageDescription | PyOpenCL 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. |
PackageMaintainer | shlomif <shlomif> |
PackageName | python2-opencl |
PackageRelease | 1.mga7 |
PackageVersion | 2018.2.2 |
SHA-1 | 1C34680946B3D6B65E18E87005AAD0DD8D498846 |
SHA-256 | 0775E2444120F45BE1C2B7E420393F9A5312807B8A50C4DC560819C49B503187 |
Key | Value |
---|---|
MD5 | A793F061D569F5FBE8104FBBFA727103 |
PackageArch | armv7hl |
PackageDescription | Python 3 version of python-pyopencl. |
PackageMaintainer | Fedora Project |
PackageName | python3-pyopencl |
PackageRelease | 1.fc34 |
PackageVersion | 2021.1.4 |
SHA-1 | 1D3A7F7182F9CD4F1E41786501C403A25F66F60D |
SHA-256 | CEE738D7BDA7468A82DE4D89A7EF9C53BE59CE9AEE65F14A90DECC825B6C8B43 |
Key | Value |
---|---|
FileSize | 309838 |
MD5 | 0F96291FCC8DB52CA07FDA2716EC6A04 |
PackageDescription | Python 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. |
PackageMaintainer | Tomasz Rybak <tomasz.rybak@post.pl> |
PackageName | python3-pyopencl |
PackageSection | python |
PackageVersion | 2016.1+git20161130-1 |
SHA-1 | 2009A8AFD9C2F45E98BD68434E81FB50B3A8AFEB |
SHA-256 | 5EA8B8C6876FA38C04F3CCBBC5B6040499C3D07579218C70397A57243AA0049F |