Key | Value |
---|---|
FileName | ./usr/lib/python3/dist-packages/Levenshtein.cpython-34m-arm-linux-gnueabihf.so |
FileSize | 51120 |
MD5 | 0093BE79B3E02B0E6438FF5887DA70FA |
SHA-1 | 658E7DE7D8EE8AC431D96FCA89E2D2C1C1A084DA |
SHA-256 | BF35643B1168AD106B8317D263FAD5F801583A50F650A6656FBAD9273C6748F6 |
SSDEEP | 768:3AS+QrAQqP8gV9QfFwlgx2PNtP2CCHTUc:wQ0QqPLCFwlkmNICEgc |
TLSH | T16B338F16F1840563CDE2407AF6C70F065775C40CA266EBAAEC6C86793F849B8DE7297C |
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 | 28742 |
MD5 | DEB400402591614998F7228080A88D25 |
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 | E1F963853735D8706CE095A7DAC7402198A58433 |
SHA-256 | B71040936366EDC9594379EB4150C4316BB2B2AFED70EE2918262705E89D12DE |