Key | Value |
---|---|
FileName | ./usr/lib/python2.5/site-packages/Levenshtein.so |
FileSize | 68108 |
MD5 | 4F085209D755CCF0E18D9122E398A076 |
SHA-1 | 3EA6911E3AB82ABBA32D5640EC1FC284FC51A370 |
SHA-256 | 9714C1C58AB001C30518390F1D285A2FACF6CD44E36F6E9C16CE259C868E6C75 |
SSDEEP | 1536:/yjvNjyqayZ++mRIDh6wijd+iR52UhaMUQcJ:sF9ayZ++ggi8iuUFUQ+ |
TLSH | T16D63071337BE1113C1C07635A5E75733F7BE0A842568E20FBDA90D991E79A4426B37B8 |
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 | 62324 |
MD5 | 525B492ECBB21F837135C74606011F73 |
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 MOTU Developers <ubuntu-motu@lists.ubuntu.com> |
PackageName | python-levenshtein |
PackageSection | python |
PackageVersion | 0.10.1-1ubuntu1 |
SHA-1 | 480C1EF3CCC9D7B11D75ADF5B4800C0E41B2BCB3 |
SHA-256 | DFD57B64ACDEBB2ABD41DB9960B45F0194085C6627FD8474F8C5C0B9F75A5FCC |