Key | Value |
---|---|
FileName | ./usr/lib/python3/dist-packages/Levenshtein/_levenshtein.cpython-39-arm-linux-gnueabihf.so |
FileSize | 50828 |
MD5 | E89DA03B7496EDAC5265AB67C1D57306 |
SHA-1 | F3396AFE338BAE9A5632D5F38D1F562C4B1B21F7 |
SHA-256 | 23425982945AA23597261990C1C3C5FC0CBE8010BDE76D8120054927B950C5F1 |
SSDEEP | 768:IQE5XmUdWF2QBrbzCh7SOSblBUVXj9fjaY0aPCqY9jpy:NEn6sWxhBUnbpIqg9y |
TLSH | T104339F5AE74406A7CDE5C13AEAAA8E016766C00CB327D7D7AC6C83713F49860EF76534 |
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 | 34792 |
MD5 | 4D1EFE837F001E91CFDF9ADC0073F3FF |
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 | 0.12.2-1 |
SHA-1 | 6E297265EB5E1C23597DF5B774A55CD8E7B53BBD |
SHA-256 | 60FB81758867B81DA77500B13C3EE115BBBF52E66D0336F2F604DA44B32B071C |