Key | Value |
---|---|
FileName | ./usr/lib/python3/dist-packages/Levenshtein.cpython-34m-i386-linux-gnu.so |
FileSize | 75720 |
MD5 | 237C6CD1CE5EC11D6337240861ECA146 |
SHA-1 | E086F0E52946ED573885F486C454BB05A4854D97 |
SHA-256 | A5F25C00E33B34F88688EE67B31D610C2CAE71332045A648036D9556FFD58FF4 |
SSDEEP | 1536:EdOm8KE1noYzJjupvy67cmPhu6JN8gjdrc4G8bMEgckLvP6ZO5bUtKjNjX9oCTNB:EdObJjun5Oodrc4mEgL |
TLSH | T126733B16A7C7E4F1E2A342B947E6953B65308202C063F2E1FA4C7B85BE767117D36278 |
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 | 34190 |
MD5 | 69ECE438A4954C4498F944AD77F74763 |
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 | 0.11.2-2 |
SHA-1 | 019226F2A12B194B6096027D259FAAF4012265CF |
SHA-256 | 704BE1921C44820D88B34FE64721BBBC795CACAB52D2A8C8CA143D484EC86B8A |