Key | Value |
---|---|
FileName | ./usr/lib/python3/dist-packages/Levenshtein/_levenshtein.cpython-37m-x86_64-linux-gnu.so |
FileSize | 80896 |
MD5 | 763DD50A63E7DFCC951EB06E328778C8 |
SHA-1 | 79DA32FCF9671AABFD49A41CCC20761FC7519C2F |
SHA-256 | 81D8F0DE5769B942805535807E07141C66A4F9A6F09FAD79175A397E012FF352 |
SSDEEP | 1536:rV/wiKd9rfL4Fo1iYCbKiy0G08ALie2smDo:h4b/IoOKtvfALV2smD |
TLSH | T1B483070B765214FEC4E6843097D7A9A2B670B41492362FBF348C9E341F57E241FBAB61 |
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 | 34644 |
MD5 | 6B58742CD0A892E3EB475EB59799E1DE |
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 | 0.12.0-3 |
SHA-1 | 05A0264E4E9CDC7F3E67BDD1BEA9600D9EB889DF |
SHA-256 | A3203BE745FCD620A25FCAEACDB1AC658B0A51F5011411A1E6C7487141269C9F |