Key | Value |
---|---|
FileName | ./usr/lib/python2.7/dist-packages/Levenshtein.arm-linux-gnueabihf.so |
FileSize | 46952 |
MD5 | 2B4483B69E05E67D06AB0341A2EDA784 |
SHA-1 | 10A05AC7166EC70CB6898F6022B3E434C55F5808 |
SHA-256 | 1B447AA50C8278936EC1017763F41AD291548D978F8BA2643BC0EAD9A0D8B829 |
SSDEEP | 768:tZjkStw8URBNhEwpQCSMhEMOhe4rDtP2CCHTUc1:ISWbRBNhE4S51hPICEgc |
TLSH | T119238E5BF2850763C9D18077EEC70E058B62C40C6267E7DBEC2C82692E89A74DE75DB4 |
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 | 32742 |
MD5 | 2E3565C384C522438F1C23698F4C6534 |
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 | 0.11.2-2 |
SHA-1 | EB3D8B02AA5597E20657982FA1E58C144224A788 |
SHA-256 | D07C08B8E829818BF4F0C244F98B62DFF2D3A005390BA8A148561E07688A1B67 |