Key | Value |
---|---|
FileName | ./usr/lib/python3/dist-packages/Levenshtein/_levenshtein.cpython-39-mips64el-linux-gnuabi64.so |
FileSize | 78832 |
MD5 | 9C22A9B54F4A76683928A50A59D28064 |
SHA-1 | 79A713343C0FBBC7903CF75B60A620F315028CAE |
SHA-256 | 548B32D1DB40D77623219B3C5EA2782B422F8BFF863775394D19952F7C3D064F |
SSDEEP | 1536:CaK0zfWZjMrLqcFsBLe3Uqo9OfLpotIqAti:C90zumsfOqtFAt |
TLSH | T11B734C237B452FA3D2EACF318D795177253D9D92A220C956EE9C0A193E0D7864FE280D |
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 | 36616 |
MD5 | F1C9ADF9F590A3BF2E66E44613F31294 |
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 | 0.12.2-2 |
SHA-1 | 7A929BBA2D5343DD6896D17A144C04F4AA004561 |
SHA-256 | D5EE0AB6BFEFCFE03AB5F148A57C49BC0B905D179CAB534AC6ADEBF005B2C355 |