Key | Value |
---|---|
FileName | ./usr/lib/python2.5/site-packages/Levenshtein.so |
FileSize | 59048 |
MD5 | C6E9C5BD4228142079DD2E6FEA6F55EB |
SHA-1 | 9C4BAFC7F7DCF892BD55BD1B75099A402B673B78 |
SHA-256 | 9C563F7D25590232D267542E1D4EB951AB28846D7E409919140CEE09EB3EA1EB |
SSDEEP | 768:piE7fTuhEyYlXWsQefr9Pk5TyW7fiFo0bEZyYR8LTSK0wXoyDWh/PWMCHTUc:kcTDxHJyTyWDEFKyRTwCJLMEgc |
TLSH | T1E0437C737151C2B3D4B200FEAB9B99E1B1148701607BC4D7B88C18587BA2D21EA7BB3D |
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 | 63318 |
MD5 | 58C11DE212FD056B26F7EDB9A7CEEB30 |
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 MOTU Developers <ubuntu-motu@lists.ubuntu.com> |
PackageName | python-levenshtein |
PackageSection | python |
PackageVersion | 0.10.1-1ubuntu1 |
SHA-1 | 22932742EDDFDFD37D21839B5D4B480736A1CEA7 |
SHA-256 | 7860E8869D784E2B204F3ADD61F3FCB27A4FD0403FE88002ED2283FB6584C1A8 |