Key | Value |
---|---|
FileName | ./usr/lib/python2.7/dist-packages/Levenshtein.x86_64-linux-gnu.so |
FileSize | 72560 |
MD5 | 7C6406AA92C241DBEB9E39125CAFADCA |
SHA-1 | 156E220ADBA20737E697A9D0165C0721DF12A171 |
SHA-256 | E74E970E4E60E014C7551A9E96354728CE9E278A34FB04E5053FC835A49A96B4 |
SSDEEP | 1536:arqM9nHVru/ihqRI7Nrpr5/FNKvuMUQcyS173z:kNu/iqRIBNrJSvUQzSl3z |
TLSH | T1AE63294BB56114BEC5F6C4348BD7A652B570701463362EBF34888B741B1BE290BBFB62 |
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 | 35250 |
MD5 | 6ECC4B4E218963A728166D906669566D |
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 | 0.11.2-1build1 |
SHA-1 | 417D78AC9B454FEE1E4293B51633148BDC06301D |
SHA-256 | 2749D160E31ED7333C40996BF9209FC59C7915EEEEBD60548D66C9E239D2A141 |