Key | Value |
---|---|
FileName | ./usr/lib/python3/dist-packages/Levenshtein/_levenshtein.cpython-39-x86_64-linux-gnu.so |
FileSize | 80536 |
MD5 | B8A81842399322DC22FF23A2F9BC4E1A |
SHA-1 | 1FE0A5C5969DCC2932F4FDD465F9733EE28961EA |
SHA-256 | CD9703B7C5CC60D3D93A95E00DBD7518632971D6CFC2E34D7726421A47EFC7DF |
SSDEEP | 1536:yCcHJqZHSBuy5i+bh/rMsX/2Z8AtiecV2AL:yC0Fuyw+t/rJ/2iAtLcV2E |
TLSH | T13473080A725214FDC5E684309BE7A993BA34B40442353FBF349C9A742F67F241B7AB61 |
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 | 39092 |
MD5 | 84E6C5A8FFA4E92ADA49395E7B771414 |
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 | 356D7968732A42544E91A6FF750BB4CE6330687B |
SHA-256 | 853C662EEF6C244AB035BEB4A657C047AD7DC0D81A28C62F48ECB477E2F549B1 |