Key | Value |
---|---|
FileName | ./usr/lib/python2.7/dist-packages/Levenshtein/_levenshtein.powerpc64le-linux-gnu.so |
FileSize | 133888 |
MD5 | C4355D8E5902F1A499E5EFCEF95E3743 |
SHA-1 | 424321AB4B6BF04A6F2988BE8D7549F981436754 |
SHA-256 | 889883AFC8109CB2238CF25B03D5A75D16E8732BD98FB9A72879C680AEDEE10C |
SSDEEP | 1536:8gjtSyfppGdVyzqd7Jtxu1he0P1v2GI88wthTRuALi:02LBWUvxhTcAL |
TLSH | T159D30926324C4B67EB411C7B878DA91073613C074364A1E7BE58032F6BAEB1ECE67D59 |
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 | 34662 |
MD5 | 43D2C16723BE7B939CED09F24AA48C47 |
PackageDescription | extension for computing string similarities and edit distances 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. |
PackageMaintainer | Sandro Tosi <morph@debian.org> |
PackageName | python-levenshtein |
PackageSection | python |
PackageVersion | 0.12.0-2+b2 |
SHA-1 | 85E4931BE311395EC28F63388C4462193760F369 |
SHA-256 | 186A14F166351A86BC9F61765742B8DA58233EBC3C94F682077C4F56F8147422 |