Result for 1A82D84E15D4C03324CCA115CCDB4B89D58B1E0F

Query result

Key Value
FileName./usr/share/doc/python-pyopencl-doc/html/array.html
FileSize90272
MD535F160BA3489BB68FCACC6442002D1E2
SHA-11A82D84E15D4C03324CCA115CCDB4B89D58B1E0F
SHA-2564D684D6C0440015F475C819AE8694F4A9A79A9FA391CDDF08E15B2062EC7B0A9
SSDEEP768:hlI6XRvysE9DryKZNEYTUlRmMde1NYSoMd5n:hlzhtDKBTUXiNYS7dJ
TLSHT19A931111F1E64537503396FC93EC2B76B1E7845AF901048A4AFC8BEC939ADC4B526D2E
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
FileSize117694
MD5011C08EDE7490C276AF155EE23E00BE1
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
PackageVersion2015.1-2build3
SHA-1BB8FF1BAD9501FCEB0FD1B0AC410BD93CFF17E93
SHA-25671A45C5B00EBC27C7699ADDB098841EB7356FCCA568EDED0266E2113C9603EFA