Key | Value |
---|---|
FileName | ./usr/lib/python3/dist-packages/Levenshtein/_levenshtein.cpython-39-arm-linux-gnueabihf.so |
FileSize | 50828 |
MD5 | 41C37D3B2AC8C841A675A963F984F29F |
SHA-1 | C0D38CE8586E1F153C6600005C5B76DCE75EE493 |
SHA-256 | 29571206A98FB5793D0E6F9765E1CE51913B94441A950314153DFE541E99D187 |
SSDEEP | 768:toEHgfsYBLna9bU0mbp8sILss+GmaPCqY9jpyx:WEusYKblmbp8SSeqg9y |
TLSH | T16E33AF1AE38506A7C9E9C036F69A8B046726C408B32BD7D7AC7CC3743F498A4EE75574 |
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 | 34816 |
MD5 | CE2871E1BBFD9A93B380F0EEA6C3357F |
PackageDescription | extension for computing string similarities and edit distances (Python 3) 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. . This package contains Levenshtein for Python 3. |
PackageMaintainer | Sandro Tosi <morph@debian.org> |
PackageName | python3-levenshtein |
PackageSection | python |
PackageVersion | 0.12.2-2 |
SHA-1 | F879A97648810D93D2D40BFD2F8E7E3EFBDA1813 |
SHA-256 | BCF9576DE346C375A044246300301010E538C7B35A8A16C5D8F64C596FCD8651 |