Key | Value |
---|---|
FileName | ./usr/lib/python3/dist-packages/Levenshtein/_levenshtein.cpython-39-powerpc64le-linux-gnu.so |
FileSize | 133760 |
MD5 | ADCFD1007C415406D2945263B5D1EAD0 |
SHA-1 | A081AD974889349E1ADB694E2A37E48731D7B09B |
SHA-256 | 33D17426EB1E6D05B9DE70E4480A67E79DFD4DB38BD6C70B82FE8BBF6A7BDF45 |
SSDEEP | 1536:RUWoVWbb4CnTp50MlDmQvuvmdQGlDqAtivI:vX4CTp5naWQJAtEI |
TLSH | T17DD3293B314C5756DA425C3BCBAE6D1032AA7C4B063B59633D54034FAF2AB198FA3C59 |
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 | 43696 |
MD5 | 308050A8CA2817D0E45BF26FBBF8815C |
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 | A4E404EF78098D5C663CEB562B2DCBED133AF778 |
SHA-256 | 145671E8A5E88A35D4FAC2D21FEF35803DD0517282938B5D5905A5E9730AD7B0 |