Key | Value |
---|---|
FileName | ./usr/lib/python2.6/dist-packages/Levenshtein.so |
FileSize | 68472 |
MD5 | 85F60F8D88E4F8E065249171AEBF1B95 |
SHA-1 | 41A760AF51F44B20A8F3096F883E289C0D3B48D5 |
SHA-256 | 8FB110E7AE2A9F4D788B9DB84867BEE6705AE5CCE659A030E8EF0D5BCC076524 |
SSDEEP | 1536:tDmd/6QUEA2CrjRcaEipIeeAuiFbiEbOOPTaD9WMUQcx:Fmd/shjRnEipVuKO8GRvUQ2 |
TLSH | T15E631957A46220FDC5EBC1349BD775627AA0B01093363EBB788C8A741B16E291B7FB50 |
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 | 38170 |
MD5 | 981532A67A314C0EC87CA38BD41F2F42 |
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 | Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com> |
PackageName | python-levenshtein |
PackageSection | python |
PackageVersion | 0.10.1-1.1 |
SHA-1 | 5102525E247BB32477983CF1270382F77A34D9CC |
SHA-256 | ABB043E06D070BD5EF0F91B0676E1A5FB8FD6C9B0732E0C6260D4B742F8F0128 |