Key | Value |
---|---|
FileName | ./usr/lib/python2.7/dist-packages/Levenshtein.arm-linux-gnueabi.so |
FileSize | 67420 |
MD5 | CFF1AD8E9ADAF8647EA200E7D53AD96B |
SHA-1 | 201770CBC148F0CD4983C6AAAE6396431AB0D1C8 |
SHA-256 | 20EFF35B385D317D7BA6AEA2263E42A98A360BCB92D1A81220AF4D886AF03342 |
SSDEEP | 1536:Qvzuuhuv2QSuPmeciK7C2G+zGZiIsQqBS/K+dYRJIOkcWSHVqYyICEgcSz:uuvsrk+zGZiIsQqBlzIOdWSHVqREgh |
TLSH | T15C632BD6B9400BEBC5C1277AF7AD938873130734D3EA315A9D288B247BDBC694E36914 |
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 | 34310 |
MD5 | C3664FB2257DF4B9D1A914AC17A9AA1C |
PackageDescription | extension for computing string similarities and edit distances 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. |
PackageMaintainer | Sandro Tosi <morph@debian.org> |
PackageName | python-levenshtein |
PackageSection | python |
PackageVersion | 0.11.2-2 |
SHA-1 | BD86849E63453DA3CC403724150782FFAA3D7337 |
SHA-256 | 99C9D2FB97897DE6B677FABE5937E9FEAA94B228C1A5FE6FF04519AF6D71CE1B |