Key | Value |
---|---|
FileName | ./usr/lib/python2.7/dist-packages/Levenshtein.so |
FileSize | 46920 |
MD5 | B6CC536DBA38588D9F169F671A5886D6 |
SHA-1 | 5E6E421B6657E95533A727C418E9C1FF4928D6F4 |
SHA-256 | 42F33FFBF949BA5E276F081C16AE956B6E7F0901A40D98A88DA9CEBC6EB9C413 |
SSDEEP | 768:Pi573p2gn61gQj2dUvPFJ22i+DC8mdaf9P2MCHTUc:s73YNygPv22l7mdsYMEgc |
TLSH | T1C0238F16E6540723C9F6403EFAD30E045B21C00CA277DFDAFC6D81266F4A465EE7AA79 |
hashlookup:parent-total | 1 |
hashlookup:trust | 55 |
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 |
---|---|
FileSize | 36250 |
MD5 | A3A9FB49CA301BF7B3EC406B89B68605 |
PackageDescription | extension 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. |
PackageMaintainer | Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com> |
PackageName | python-levenshtein |
PackageSection | python |
PackageVersion | 0.10.1-1.1ubuntu1 |
SHA-1 | 5113FF6346F90DF226F1F8E7F0BFA69CB94D05F6 |
SHA-256 | 75F44013DC6F1356DFA8753A38B119AB2B2F8067634F66ABE76D9A3C6FD4045E |