Key | Value |
---|---|
FileName | ./usr/lib/python3/dist-packages/Levenshtein/_levenshtein.cpython-37m-i386-linux-gnu.so |
FileSize | 79756 |
MD5 | 00DFA19E2411FE922DCA861946C04F29 |
SHA-1 | 2D98C55584AE4376A9DF6B9432F17127EC122D9D |
SHA-256 | 73720312ADF8B8994BB40F29DE80EB3626513A7D07E57453D491301D4F4449FB |
SSDEEP | 1536:oMiMwakFCNsoI7tWowCT8gbyVQQfVeHcrq4ySWfKjNjnL7pNjI5:V/wakFC+pWowhgbaVJLQ |
TLSH | T194733A8AABC795F1F3A295B597E696376A304101C023F7E1FA0C2781BE75B127D31368 |
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 | 36100 |
MD5 | 6BE78C49F4F4EBA935F188B4E13F73CF |
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 | 328A5F820400FB5398A09FBFBE787221C1172E9F |
SHA-256 | F8F9D2CD0C851D0AA8408739C011B9B39F0A2070618E99B4CE8CF8149A3C60ED |