Result for 10A05AC7166EC70CB6898F6022B3E434C55F5808

Query result

Key Value
FileName./usr/lib/python2.7/dist-packages/Levenshtein.arm-linux-gnueabihf.so
FileSize46952
MD52B4483B69E05E67D06AB0341A2EDA784
SHA-110A05AC7166EC70CB6898F6022B3E434C55F5808
SHA-2561B447AA50C8278936EC1017763F41AD291548D978F8BA2643BC0EAD9A0D8B829
SSDEEP768:tZjkStw8URBNhEwpQCSMhEMOhe4rDtP2CCHTUc1:ISWbRBNhE4S51hPICEgc
TLSHT119238E5BF2850763C9D18077EEC70E058B62C40C6267E7DBEC2C82692E89A74DE75DB4
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
FileSize32742
MD52E3565C384C522438F1C23698F4C6534
PackageDescriptionextension for computing string similarities and edit distances 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.
PackageMaintainerSandro Tosi <morph@debian.org>
PackageNamepython-levenshtein
PackageSectionpython
PackageVersion0.11.2-2
SHA-1EB3D8B02AA5597E20657982FA1E58C144224A788
SHA-256D07C08B8E829818BF4F0C244F98B62DFF2D3A005390BA8A148561E07688A1B67