Key | Value |
---|---|
FileName | ./usr/lib/python2.7/dist-packages/pyopencl/characterize/__init__.py |
FileSize | 10890 |
MD5 | 5458772C24CF088EBA8EB197761D41A4 |
SHA-1 | 1435A62F9741055E4B317F7099223ABE1E94CDC4 |
SHA-256 | EC25F5BDE10E529CD936B6F704BB7768B020931E6DBE9838307AB078F5CB8483 |
SSDEEP | 192:pQHTogWyJxVSkl1FidIY1JWwY9vTxdqLNXh+nS6u:p6ywNidIY1JWB9XA4SL |
TLSH | T1D422B657A5156A7B9B03A1DE2D9BC407F32A780B520E1929BCBCC06C3F84578C3F56D8 |
hashlookup:parent-total | 4 |
hashlookup:trust | 70 |
The searched file hash is included in 4 parent files which include package known and seen by metalookup. A sample is included below:
Key | Value |
---|---|
FileSize | 356138 |
MD5 | 7D54D09894533F2EE9C1FC0C3171A0F9 |
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 | Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com> |
PackageName | python-pyopencl |
PackageSection | python |
PackageVersion | 2015.1-2build3 |
SHA-1 | BA82CC6F5B0178057FEB140327FA467B71999033 |
SHA-256 | 420974C8BE2876362A521783552F0CACCCB5BC18755418326A990BA7ED702B4D |
Key | Value |
---|---|
FileSize | 358722 |
MD5 | 9B0BD7D482D35195FB43418F76982638 |
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 | Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com> |
PackageName | python-pyopencl |
PackageSection | python |
PackageVersion | 2015.1-2build3 |
SHA-1 | 948019DC6940AE601229421C149899E063BE79F8 |
SHA-256 | 6163D198232E2B7AF45F89B5D0D4EE0DB2491D4B5BDC73CCE5C5A41A5A21043E |
Key | Value |
---|---|
FileSize | 350082 |
MD5 | F79612E0871F9237EA1D5D8D8A3EF646 |
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 | 2014.1-3 |
SHA-1 | 5D93DA0DE26A6DF52D362C857411C6B3285C5F92 |
SHA-256 | 60BDB0E2982B0A816ED42742833F34255E28B9082561318B5BA5EDA622F88AD6 |
Key | Value |
---|---|
FileSize | 355648 |
MD5 | B057B3961B4F85FA32CB35504D31B302 |
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 | 2014.1-3 |
SHA-1 | AA5265D39E371911FCCC63E965B2C339BF3CE0F9 |
SHA-256 | E208BFE9AF25E90F69FD4C0D01536D6F08111CE37E69219F7BF4C271A9F64DC2 |