Result for 41ACE1F2460F6CC269F54DEE5A2D74841FCFC7BE

Query result

Key Value
FileName./usr/share/doc/python-vigra-doc/html/searchindex.js
FileSize8045
MD56E69EA859D03F629F76D89D5951F4522
SHA-141ACE1F2460F6CC269F54DEE5A2D74841FCFC7BE
SHA-256295FE773BF8E8459A32F68F4996AB36C0877F2ED34C662FB6CFE2D540F1A98C9
SSDEEP192:VYDugvJxzRp9jXBHzGs1zjAeFb4/RwNfBp:VyxzRp9b1Vzjra4Jp
TLSHT157F1FD7B5D68B433766BE2271EC6E60B0104A69EFD840B5594BEC108F38253F930AE5E
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
FileSize40424
MD510784B52EE69B81DC3A8B6546D0E4039
PackageDescriptionDocumentation for Python bindings for the C++ computer vision library Vision with Generic Algorithms (VIGRA) is a computer vision library that puts its main emphasis on flexible algorithms, because algorithms represent the principle know-how of this field. The library was consequently built using generic programming as introduced by Stepanov and Musser and exemplified in the C++ Standard Template Library. By writing a few adapters (image iterators and accessors) you can use VIGRA's algorithms on top of your data structures, within your environment. . This package contains documentation for Python bindings for the VIGRA library.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamepython-vigra-doc
PackageSectiondoc
PackageVersion1.10.0+git20160211.167be93+dfsg-5ubuntu1
SHA-1B3B60314BFB8C262F2F4C4D886544BC9BFB01D93
SHA-256293D93E3F2F702A6312C5A85ED164E5175B91325557F10F21C021FD1184B7BE0