Key | Value |
---|---|
FileName | ./usr/lib/python2.7/dist-packages/pyopencl/ipython_ext.py |
FileSize | 2214 |
MD5 | DD7F87DE7BAA60F987E6149E942039C1 |
SHA-1 | 07400B2926BB6B4E0AE98D616653D57C5B2F0D05 |
SHA-256 | B42AB62F6001BA5672E9DD6538094DAE2C3B2A00EF8453FEC47C57D2CAA3FCA5 |
SSDEEP | 48:PikTptsdpBUnScFMSsFu5/CK85asXe5oK7RcxHVhRkrpZr/xTVhpk2/roQr/2rnj:7TD8paScFMQNoeH1c9tAr/peQr/jSera |
TLSH | T19C419B314C84B75377C780F845A36686E62EAD639804203D7FED978A5F815A1C2E7FC2 |
hashlookup:parent-total | 2 |
hashlookup:trust | 60 |
The searched file hash is included in 2 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 |