Key | Value |
---|---|
FileName | ./usr/lib/python2.7/dist-packages/Levenshtein.x86_64-linux-gnu.so |
FileSize | 72656 |
MD5 | 530686114B586E2388C049AF032F90D6 |
SHA-1 | BF85E48CEF8FA28926A3D87E30B6239DF97FE008 |
SHA-256 | C619C035CB64164B3102081A78F53011BE40005F34764B80384F571B38C5A694 |
SSDEEP | 1536:U4c3iUjR46TKrYDixKL5DzNJMUQcxvzE:w+yKM+KLVzNKUQkE |
TLSH | T1E5632857B1A104FDC4FA80348BE7A4527571B45443362EBF388C8A351B2BE295B7FB62 |
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 | 36286 |
MD5 | 295517FA6CCC135C02DC16807B01CCA6 |
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 | DFF7B8B25D0A2D35425E5843909C22D15980E79D |
SHA-256 | E71B3BFFA12AB46E3E04F09FE9AD174AE7AF8E3B5E82E831C4CBDF875842D337 |