Result for 2615667E1C09CFE4A5EBC4D6138D65B75F260EFD

Query result

Key Value
FileName./usr/lib/python2.7/dist-packages/Levenshtein/_levenshtein.mips64el-linux-gnuabi64.so
FileSize78792
MD51F966E286F83E218B5B64F1653B38CA6
SHA-12615667E1C09CFE4A5EBC4D6138D65B75F260EFD
SHA-25606D17047D2A296B65744F4E1FEA68F28DA627D332C8167FE01AA6056317EA250
SSDEEP1536:GZO2tyQnzsZ0A6jJDM5GerqNrEmbLVaMoHVuALi:r2tyyzsZ0A6jqYerqNvbp1oQAL
TLSHT108734C667B451F73C2EACF30CE3D5167613C9C95A26285A6FADC45383B09B570FA280E
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
FileSize34484
MD54462FA0E25925944A0946D276943E0AB
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
PackageVersion0.12.0-2+b2
SHA-1DD8C9444B94F3AC413119CA94691587A0A11923C
SHA-256A8E9D9E3CAA8AEDCC781F5B80F7F30CBAFBE4EA239DAE32A96EFF90182928EB7