Key | Value |
---|---|
FileName | ./usr/lib/python3/dist-packages/Levenshtein/_levenshtein.cpython-35m-mips64el-linux-gnuabi64.so |
FileSize | 78936 |
MD5 | 3090B1D057F6127C0DA244FF05BE977A |
SHA-1 | C394A483F2DACB9A6DC758553141DC4A927EAB77 |
SHA-256 | B367D8765C51D28779A2EAFA1C0E1130CEA85EC42AFEA06010B561EFE9362F12 |
SSDEEP | 1536:kIe2NywDz3yZMR85OwptLEIyNjb+7Wqr5F8PqALi:Y2NyCz3Mt4wHEIyl+/r35AL |
TLSH | T159734B573B451F73C2EACF308D3A5177653C9D92A261CAA2EEDC45287B19B860FE240D |
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 | 31904 |
MD5 | 5DC1DF57E7D488C0CC433C8C3D289A58 |
PackageDescription | extension for computing string similarities and edit distances (Python 3) 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. . This package contains Levenshtein for Python 3. |
PackageMaintainer | Sandro Tosi <morph@debian.org> |
PackageName | python3-levenshtein |
PackageSection | python |
PackageVersion | 0.12.0-2+b2 |
SHA-1 | 0B1738CD5A40302C80A96C9822989E5592E92A6D |
SHA-256 | 85C9C4D03C80AF553B48E1E0A54FBD219882B000F2F4F53508D8F3B09E3987EF |