Key | Value |
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FileName | ./usr/lib/python3/dist-packages/Levenshtein.cpython-34m-x86_64-linux-gnu.so |
FileSize | 76888 |
MD5 | 2D26527DE27ABB812B67553D8D499B8F |
SHA-1 | 58D50F3A4B2788EE3F3711F353B00CA141F17DBC |
SHA-256 | 1366114EC831263933E5C0AA269759E923FEBC21BCFFD178663B115B5104B832 |
SSDEEP | 1536:veIHH2fjD4ZQgb1/To5iCfzOtmMUQcZXE:i78igx7o5fCVUQQE |
TLSH | T170730757B1A118FDC4E784348BD7A4627571B05443362EBF388C8A351B2BE291B7FB62 |
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 | 32532 |
MD5 | FCABB8DFA99980A870DEE9E8D550C7B3 |
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 | 0A97463A0AB8E4AEF227EF898807FD9418B603C9 |
SHA-256 | 7A882E3C87DBAB0EC96BB3EF26C56393C1A57603F96E3A321CC7815BB8B88531 |