Key | Value |
---|---|
FileName | ./usr/lib/python3/dist-packages/Levenshtein/_levenshtein.cpython-35m-arm-linux-gnueabi.so |
FileSize | 71592 |
MD5 | 2B1FD7819766CED91F232A544D334FC9 |
SHA-1 | E8F447EE0F711FB8A1AEF142C0C4AF906252A9C9 |
SHA-256 | 781BDAD6CAFE52A40693291910FFD6B564466508A7E9813C579EED33D06722E5 |
SSDEEP | 1536:yyvj9PIRRJ7XBjEcGnfaU6RJUg9vrNPYySqgbySR:yA9wRRJ2cGnfaU6rpvrxpgbPR |
TLSH | T1F86308C6B4400FEAC5D127BAF79D938973230738D3EA715A9C284E64A7CBC590F76A14 |
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 | 31220 |
MD5 | C61E56BD3B4E12D360A300A04F113932 |
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 | 4544BA7EECC87711099D290492A7145C24E0074A |
SHA-256 | 1B76F5A365ED403BD6A874CBA53A11ED42B2163718784DB7D83CBE30DAB5CF54 |