Result for 075D650E7E4E741F99A592C25DDA5C5D8015DE9F

Query result

Key Value
FileName./usr/share/doc/python-pyopencl-doc/html/runtime_memory.html
FileSize105332
MD5DADC5D5CE9820C0A84BB9A03E5B91C32
SHA-1075D650E7E4E741F99A592C25DDA5C5D8015DE9F
SHA-2566A9DA99EF3A51F23DCFA39A032CDF29A2A4A0E90EF474AEA888C8A4303E5A968
SSDEEP3072:mNnD2cer68oHi1aQd61tlLS2BNJTAy/hr:mNMQV
TLSHT1D8A35230E5A94A371A33C6E5A3DD1B3972D7482AF5014548C6FC83BD939EED0F116A2E
hashlookup:parent-total1
hashlookup:trust55

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Parents (Total: 1)

The searched file hash is included in 1 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
FileSize138972
MD5253D5E1E36309EC163963A248D3C43CB
PackageDescriptionmodule 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.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamepython-pyopencl-doc
PackageSectiondoc
PackageVersion2017.2.2-1
SHA-164EB415C20660425DF4D2A3C09FC3B5E29942DBD
SHA-256F19819202B2A6EC4E754210D03E0EDB70277255C81FEB6894E469D3DA82E6014