Key | Value |
---|---|
FileName | ./usr/lib/python2.7/dist-packages/Levenshtein/_levenshtein.s390x-linux-gnu.so |
FileSize | 84920 |
MD5 | A9DDF31489EB7805A01FE4E7DEE78632 |
SHA-1 | 89234317D0C252A492E55A731EC47CB74F7F6B4D |
SHA-256 | CD7691606786380C680E00B78ED834843AA0C2FBE661D188151994531F631703 |
SSDEEP | 1536:Gohh/ZjfJrG0U9zndoeDy0XZ26q4pSfyUxGXt6jsGJHGuoDKrg:w9zdoN0p26qPfyUHHtoDy |
TLSH | T19A83C6D6B6258393C4B47933E69937F2D336253822D57A5CEAECCF160DD3A004A31B66 |
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 | 36622 |
MD5 | 5EF9D7CC86A659D97FA25A96A7E72975 |
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 | 156D0C3EC243F11E82CA6755A45F0A6B35DE84A0 |
SHA-256 | AF76A04DEF908CE1568794001670FA0A8E44581BDD1A8E59EA8FE3A6212E4917 |