Key | Value |
---|---|
FileName | ./usr/lib/python2.7/dist-packages/Levenshtein.so |
FileSize | 46916 |
MD5 | 660960E7EC2D2B985F3B9EFAD904903E |
SHA-1 | 5F4C06E293CBC2BF5AA8BD7169C44409E0A8634E |
SHA-256 | 92DACE03EA5A12A28C1301C79CC14F122970FA203105CD29B6432651164C8858 |
SSDEEP | 768:Ai573p2gnf9gQjHdUP1EuWzwXDTXJpZFIcDqM9P2MCHTUc:573RFzQ1fWzWHXZFxD/YMEgc |
TLSH | T15A238F16F6540663C9F6403AEAD70E045721C00CA277DFEAFC6C81256F0A864FE7AA79 |
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 | 36254 |
MD5 | 5523C2BE905B7AA0EF4CAC8BEC375C14 |
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 | Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com> |
PackageName | python-levenshtein |
PackageSection | python |
PackageVersion | 0.10.1-1.1ubuntu1 |
SHA-1 | 6693638707FD26A0E20D8F47BC4832D01468CAB0 |
SHA-256 | C78A7482C70AC532193208EB5BBEB5BD5D468C74A0E4601E3B33A7A00D016C93 |