Key | Value |
---|---|
FileName | ./usr/lib/python3/dist-packages/Levenshtein/_levenshtein.cpython-37m-arm-linux-gnueabihf.so |
FileSize | 51036 |
MD5 | FD2D4F61979E61C267DC92AFC4A2158C |
SHA-1 | 0BEFD64B2405612C29E3D0CE744BAE11165D5BE5 |
SHA-256 | C41BA4C0D8883C621AB495454F270B25294C2BB05E4C7528EC662407C8651A75 |
SSDEEP | 768:ECjfjKos7SkVAkPrQaU08bR49JCe7RdImPlqY9jHy4:pbjRsnHPN649JCmROOqgby4 |
TLSH | T162339F4BE29107A7CEE2803AE6D70A05D621C00C9266DFAFA8AC537A7F45C74CE75D74 |
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 | 30084 |
MD5 | D0B4C7C9CE9242FA06C7B32833944FB2 |
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 | 4078A02711D72ACA2FC30CC9C83FFAC8B7A3E45B |
SHA-256 | 86577D7AD79079C8DC0B81A811A95FFEFDB11100A8EF18357D1AC3E4F0F5E3E2 |