Key | Value |
---|---|
FileName | ./usr/lib/python2.7/dist-packages/Levenshtein/_levenshtein.mips64el-linux-gnuabi64.so |
FileSize | 78792 |
MD5 | 1F966E286F83E218B5B64F1653B38CA6 |
SHA-1 | 2615667E1C09CFE4A5EBC4D6138D65B75F260EFD |
SHA-256 | 06D17047D2A296B65744F4E1FEA68F28DA627D332C8167FE01AA6056317EA250 |
SSDEEP | 1536:GZO2tyQnzsZ0A6jJDM5GerqNrEmbLVaMoHVuALi:r2tyyzsZ0A6jqYerqNvbp1oQAL |
TLSH | T108734C667B451F73C2EACF30CE3D5167613C9C95A26285A6FADC45383B09B570FA280E |
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 | 34484 |
MD5 | 4462FA0E25925944A0946D276943E0AB |
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 | 0.12.0-2+b2 |
SHA-1 | DD8C9444B94F3AC413119CA94691587A0A11923C |
SHA-256 | A8E9D9E3CAA8AEDCC781F5B80F7F30CBAFBE4EA239DAE32A96EFF90182928EB7 |