Key | Value |
---|---|
FileName | ./usr/lib/python3/dist-packages/Levenshtein/_levenshtein.cpython-35m-x86_64-linux-gnu.so |
FileSize | 76896 |
MD5 | 8C891BE982CB26CC8ED851C0AC6EA0D1 |
SHA-1 | E32FC3EF34017115F5C521DD1E2E4E490C03A6BF |
SHA-256 | 6FC0AB14FF6E490AF213B4BC6D239B9DEAB89DF38EE5359E563A52BEBD8EDABD |
SSDEEP | 1536:41+rSSGvwfCCJLKAhZ9jl3oQ8ALitd/0As:eSGvwfFJLK6np3orALEdcAs |
TLSH | T1AF733A47B1A118FDC5EA80348BD7A5527971B05443362EBF38CC8A341B5BE291B7FB62 |
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 | 33738 |
MD5 | A41FB2A0365B3B6F8CC52936301EC1C3 |
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 | 355AC25BCA9E5D429B2A2345688D2ED429666488 |
SHA-256 | 445E5104CF237D6FC2E0EE3E0AF67CCF023161BD937FB236368DD7B6FD80DB72 |