Result for A93F126E6F00137D150C7DFBADBD6C46A56F74D4

Query result

Key Value
FileName./usr/lib/debug/usr/lib/python2.7/dist-packages/Levenshtein/_levenshtein.mips64el-linux-gnuabi64.so
FileSize202408
MD50A950BD0C8675006AD70D8BD890A525A
SHA-1A93F126E6F00137D150C7DFBADBD6C46A56F74D4
SHA-2569937DFC0615B179200590A46652A5052DC3507C1E176587F25B0CFDC3131E8C1
SSDEEP3072:0B/l581YnurLlupw/2seRl5HI36O++Anc:0B/l5iGEqvVI36G
TLSHT1B81439038786CD0FC2854774CCCF4BB9AB76C895B393E3979752457A2EB2308ED92499
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
FileSize87114
MD5255F4613FC7024376B2D73652E1F55C0
PackageDescriptionextension for computing string similarities and edit distances(debug extension) The Levenshtein module computes Levenshtein distances, similarity ratios, generalized medians and set medians of Unicode or non-Unicode strings. Because it's implemented in C, it's much faster than the corresponding Python library functions and methods. . The Levenshtein distance is the minimum number of single-character insertions, deletions, and substitutions to transform one string into another. . It is useful for spell checking, or fuzzy matching of gettext messages. . This package contains the extensions built for the Python debug interpreter.
PackageMaintainerSandro Tosi <morph@debian.org>
PackageNamepython-levenshtein-dbg
PackageSectiondebug
PackageVersion0.12.0-2+b2
SHA-1206A59E8D064363C154B10A965D2EE2D7355DDF9
SHA-2560336CF24240F715F6FAA663BFBC7FAB7B77E624453F490CA080B7D880DF97066