Key | Value |
---|---|
FileName | ./usr/lib/python2.7/dist-packages/Levenshtein/_levenshtein.aarch64-linux-gnu.so |
FileSize | 60136 |
MD5 | 2E432071B7AE337F42A1C43FBBBA9214 |
SHA-1 | 82151A0769029ED407941A3E6EE8FACC3127E771 |
SHA-256 | BEA2F8146093F7814078AF2485BF611ECD87A3BE8558E6D283154D2815409C16 |
SSDEEP | 768:9YZZ4/9two837pD0ZSdJJOhxwUYbZ8Mhqj1fHrb0fhQwreCBVNSluYdTHi:Mp3FnnJ/UYDhKhksoreuALi |
TLSH | T143434B1DAB0C3826D4C2B33CDF9A4661F17B908CE262C1E5AC0C41597EE7DA9DBF14A5 |
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 | 30988 |
MD5 | B2160FE0E6D21E7C9FEF4EAF284E2EC3 |
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 | 0.12.0-2+b2 |
SHA-1 | 72D3866990DFABCC6E3E8EBB3F8542320FFBC167 |
SHA-256 | E46CCA92F3FC82F9904B5FDA386186795EDB15FBD5052298F62CD8FEB87F4810 |