Key | Value |
---|---|
FileName | ./usr/share/doc/python-pyopencl-doc/html/_downloads/demo.py |
FileSize | 940 |
MD5 | DE15465B865256BB2D605B2952E59443 |
SHA-1 | 182D17ED193FC2E8C45E59087FA40625D6BD0897 |
SHA-256 | 65EEAB9A0C05F701ADE962161B4431F8DB5EFFC067E762519222A8CFFF86FA72 |
SSDEEP | 24:m62B9+lirSliXGxrQBRKpAJhKTEvnKK26OedYWs:ltduY8RuShKTEvnK36ldYD |
TLSH | T1F7114433150E8D6D4980F4DD854BC3988BBA2594F2DC6C25127C8560CFE2A7FD3C2875 |
hashlookup:parent-total | 11 |
hashlookup:trust | 100 |
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 |
---|---|
FileSize | 138972 |
MD5 | 253D5E1E36309EC163963A248D3C43CB |
PackageDescription | module 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. |
PackageMaintainer | Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com> |
PackageName | python-pyopencl-doc |
PackageSection | doc |
PackageVersion | 2017.2.2-1 |
SHA-1 | 64EB415C20660425DF4D2A3C09FC3B5E29942DBD |
SHA-256 | F19819202B2A6EC4E754210D03E0EDB70277255C81FEB6894E469D3DA82E6014 |
Key | Value |
---|---|
MD5 | 2AB78712F3E9E71FEBD841CF6443B43D |
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 | shlomif <shlomif> |
PackageName | python3-opencl |
PackageRelease | 1.mga7 |
PackageVersion | 2018.2.2 |
SHA-1 | DAAB9AB2208277BBE1ADC83A10571299F3B3A037 |
SHA-256 | F6544A767472A1D7182963CFF2E5C626A955C5D61BBE142A29DC169B6E074002 |
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 | 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 | 2998C947D182942F7F6F038563028D87 |
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 2 version. |
PackageMaintainer | shlomif <shlomif> |
PackageName | python2-opencl |
PackageRelease | 1.mga7 |
PackageVersion | 2018.2.2 |
SHA-1 | C07EC421D9B05F9D02F86EA72B8CFF9361368FED |
SHA-256 | 99EB5ED998D1529265C5B956EE01D8C06C9880BE18F1E64C71F3AFA87FE36552 |
Key | Value |
---|---|
FileSize | 144072 |
MD5 | 62CC83A5C3328D6429BDE2B47ED014BC |
PackageDescription | module 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. |
PackageMaintainer | Tomasz Rybak <tomasz.rybak@post.pl> |
PackageName | python-pyopencl-doc |
PackageSection | doc |
PackageVersion | 2016.1+git20161130-1 |
SHA-1 | E348CFC9F060778C352AF683DFBE3B2F0275C8C0 |
SHA-256 | 11A673C595E42F5E3AEF9D76031EF3F84F7E254F03BA739765F61A3C6D5558B1 |
Key | Value |
---|---|
FileSize | 151772 |
MD5 | 8497F7A0F21305922F029D24D1FC41A2 |
PackageDescription | module 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. |
PackageMaintainer | Debian OpenCL Maintainers <pkg-opencl-devel@lists.alioth.debian.org> |
PackageName | python-pyopencl-doc |
PackageSection | doc |
PackageVersion | 2018.2.2-1 |
SHA-1 | F76954C81742CFA9CEE624B89FF5ADCED8FBF86F |
SHA-256 | 5E8D3EA8FA4CE4E3B72B30B08930B03AE026B5228B64876697E8F623687F9D4D |
Key | Value |
---|---|
MD5 | 437A1653997E72352CE4D2F16A37384F |
PackageArch | i586 |
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 | FDE8CF577237F30B5A4AC03690A9B39B278073D0 |
SHA-256 | F50B76CB8CF770E1107F3B5AFE339FCA7B39432BE0F4A9ED5F2BE639A5F08015 |
Key | Value |
---|---|
MD5 | 930A0A8828A4B85D8ECA4A2BEA8FB208 |
PackageArch | i586 |
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 | 7C57388BC7D5A3C70CCC3EE984B7423DF4B4C37A |
SHA-256 | 555204EB6C249F72AA6B76CB73D5433F08A18659D6F856DC41BEECD8AAFBE168 |
Key | Value |
---|---|
MD5 | 32F46AAD5D2188A8423FF9A5DAE821D6 |
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 | shlomif <shlomif> |
PackageName | python3-opencl |
PackageRelease | 1.mga7 |
PackageVersion | 2018.2.2 |
SHA-1 | 7DC482BBEE767DCE0772FEE9FC8BE83BC22688D4 |
SHA-256 | DE15CB2F9DC2E99861D6DD969BCA8CD09E5A59522AE1DE940679E42E06EE6445 |
Key | Value |
---|---|
MD5 | 7096AA7DF140232846D45810DF899B37 |
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 2 version. |
PackageMaintainer | shlomif <shlomif> |
PackageName | python2-opencl |
PackageRelease | 1.mga7 |
PackageVersion | 2018.2.2 |
SHA-1 | EFB10ABB0415363017F22C4B1FC6FDD060FBB791 |
SHA-256 | 9DA0DE4FD44E0CBDE05952E13EA065FD88031382F77B9BABBF1FCED0A132ED7F |