Key | Value |
---|---|
FileName | ./usr/lib/python3/dist-packages/Levenshtein/_levenshtein.cpython-39d-s390x-linux-gnu.so |
FileSize | 397608 |
MD5 | AFE6D32B979B2039004AA2B74BFEC56C |
SHA-1 | 516DA20D2B8F7046592614BE4EA7CF577221BF80 |
SHA-256 | 0E17E9B33CAF8B8035E51EC705458145FC17EFE9452CC1BBB3446848342D6FFF |
SSDEEP | 6144:UMTLIV18Orbk5j4MwzucBDtLvffrw2iGMX:XTk1Hbk574ksM |
TLSH | T145844B52E342C08EDCA09632EDFE13FDF33168243246535ACBCEA6251C62BE5CE55697 |
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 | 197636 |
MD5 | D18A22E9206ADB020A2734B88783F5E6 |
PackageDescription | extension for computing string similarities and edit distances(py3k debug ext) 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 the extensions built for the Python 3 debug interpreter. |
PackageMaintainer | Sandro Tosi <morph@debian.org> |
PackageName | python3-levenshtein-dbg |
PackageSection | debug |
PackageVersion | 0.12.2-1 |
SHA-1 | 11498CB0D5E66EC047463E04637D628D6DC6306F |
SHA-256 | EE51A1352D67FFAB85074971021AE65D496A9B0BD274F3D39F7C40171C767225 |