Result for 201770CBC148F0CD4983C6AAAE6396431AB0D1C8

Query result

Key Value
FileName./usr/lib/python2.7/dist-packages/Levenshtein.arm-linux-gnueabi.so
FileSize67420
MD5CFF1AD8E9ADAF8647EA200E7D53AD96B
SHA-1201770CBC148F0CD4983C6AAAE6396431AB0D1C8
SHA-25620EFF35B385D317D7BA6AEA2263E42A98A360BCB92D1A81220AF4D886AF03342
SSDEEP1536:Qvzuuhuv2QSuPmeciK7C2G+zGZiIsQqBS/K+dYRJIOkcWSHVqYyICEgcSz:uuvsrk+zGZiIsQqBlzIOdWSHVqREgh
TLSHT15C632BD6B9400BEBC5C1277AF7AD938873130734D3EA315A9D288B247BDBC694E36914
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
FileSize34310
MD5C3664FB2257DF4B9D1A914AC17A9AA1C
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-1BD86849E63453DA3CC403724150782FFAA3D7337
SHA-25699C9D2FB97897DE6B677FABE5937E9FEAA94B228C1A5FE6FF04519AF6D71CE1B