Result for 0C79EE2A45EAE5676E60C1DAC8D07601B12CC445

Query result

Key Value
FileName./usr/share/doc/python-pyopencl-doc/html/runtime_memory.html
FileSize130418
MD5B83862B1AE1BABF0C45E768355E75A0E
SHA-10C79EE2A45EAE5676E60C1DAC8D07601B12CC445
SHA-256A845597B7C44BD4A9D6B72C7C9B43641CEBEC68B675EAF503DAC0EBF564DA153
SSDEEP3072:He8berCjjODm0cbgnTRQ+5V2spnxtAtL08gUF:HmpC
TLSHT13BD3FB60E1FA85371933C2E6A3EA1B39B1EA845EF0014549C7FC43AD43DEED4B51692E
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
FileSize161668
MD55BB305CEAE7FF11DC3CDD6F49C9AD1B1
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
PackageVersion2021.1.2-1build2
SHA-193FF16327A6E3AA91D23C4826438E3D46042289D
SHA-2561BA1190DB7E7C5F8634F00B0F03F33B1278B62CC8D6B9A8CC31119704DA4BC78