Result for BF85E48CEF8FA28926A3D87E30B6239DF97FE008

Query result

Key Value
FileName./usr/lib/python2.7/dist-packages/Levenshtein.x86_64-linux-gnu.so
FileSize72656
MD5530686114B586E2388C049AF032F90D6
SHA-1BF85E48CEF8FA28926A3D87E30B6239DF97FE008
SHA-256C619C035CB64164B3102081A78F53011BE40005F34764B80384F571B38C5A694
SSDEEP1536:U4c3iUjR46TKrYDixKL5DzNJMUQcxvzE:w+yKM+KLVzNKUQkE
TLSHT1E5632857B1A104FDC4FA80348BE7A4527571B45443362EBF388C8A351B2BE295B7FB62
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
FileSize36286
MD5295517FA6CCC135C02DC16807B01CCA6
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-1DFF7B8B25D0A2D35425E5843909C22D15980E79D
SHA-256E71B3BFFA12AB46E3E04F09FE9AD174AE7AF8E3B5E82E831C4CBDF875842D337