Key | Value |
---|---|
FileName | ./usr/lib/python2.7/dist-packages/Levenshtein.i386-linux-gnu.so |
FileSize | 75644 |
MD5 | 1E591DDF59DDC8142067D6F3EA217C2D |
SHA-1 | 95B077B5B17C186110EDE05FD432C803A47FE96C |
SHA-256 | BF9E08BD6DB4D75446B9F4F3634070117607A955A9632BFC6F1C6499CD123B81 |
SSDEEP | 1536:8ZPm9XkDMZYtP1OuMDy6zMIz9myfN4g5saHPOsMEgcMQnDZt54ZlKjNj+9DVNjZ7:UPxP1OuUDD5saHPOZEgQq |
TLSH | T1FD734D05B7C7E5F1E2E342B947E6952B66204202D023F6E1FE4C6B85BD36712BD36278 |
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 | 37804 |
MD5 | 905C86CABD4C52E16E42AF31A26FB113 |
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 | Sandro Tosi <morph@debian.org> |
PackageName | python-levenshtein |
PackageSection | python |
PackageVersion | 0.11.2-2 |
SHA-1 | C506B27B02413C0AB9A5BC7B5CF85FD57EEB69E6 |
SHA-256 | B06F90A303251658460425D6FA296503552E95290FB9A25D5B06D67A8007ECE3 |