Result for F3ACAA0D25ECDDE482F748825E743DD3146B6A7D

Query result

Key Value
FileName./usr/lib/python3/dist-packages/Levenshtein.cpython-34dm-i386-linux-gnu.so
FileSize141396
MD5D8641D467B29919F281C9BA96E6D49F7
SHA-1F3ACAA0D25ECDDE482F748825E743DD3146B6A7D
SHA-2561FD9D19E0C4CB253EA94B8FD0888DFF39E0BB6278696F9676387E6604BDDEBB3
SSDEEP3072:V7c2/Kh3xcWDWZKCHhbZTEh3yio3+BvYVCl3Y1f4HJSRqOxI0QBKtXB7bhUPMvbK:V7aJfpten7dptUptDuIJBJwJQr
TLSHT16ED33B117349C1B7D30133B7459780EEAA34572520A3E2BF9B3D0D9C6B2A6519D63B3E
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
FileSize78598
MD53EA5556526E9DE84BC5DAD8747651797
PackageDescriptionextension for computing string similarities and edit distances(py3k debug ext) 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 3 debug interpreter.
PackageMaintainerSandro Tosi <morph@debian.org>
PackageNamepython3-levenshtein-dbg
PackageSectiondebug
PackageVersion0.11.2-2
SHA-1A3AB2BA124FCADE5150B2624ADFE0585E4148EF0
SHA-256B06FC8F9525914CF2F238A0024A822D0F63F240E6772BB957EEAE1A812E4E8AD