Key | Value |
---|---|
FileName | ./usr/lib/python3/dist-packages/Levenshtein/_levenshtein.cpython-35m-s390x-linux-gnu.so |
FileSize | 89152 |
MD5 | E35AEEF26BE5EBC81B195744F7B4E6E9 |
SHA-1 | DFB60A688BA66703C3C4E9381E3048BDD6AC1CB4 |
SHA-256 | 2F3C8E88F1A4F7DB765B76EBABBBFD193E98FB5E20AE6713A7E69F7FA7D480EF |
SSDEEP | 1536:6hu/ZDfZrGUUU2p32FVeDq0gO2+My5Ah/erOT4LCnagj/QfaqoDKoKba:EU2N2FV10gO2Vh/erODagruoD5A |
TLSH | T1A393D7D6B6258397C0B47973D6993BF2D336253822957A5CEAECCF1608D36004B31B7A |
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 | 34178 |
MD5 | AFEF6946734F4EBE58F64CBE04A6190C |
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 | 0.12.0-2+b2 |
SHA-1 | 400660F523BACD0A3D22D9887DA84AC929853B11 |
SHA-256 | 56FF7C4FF1DEA128D69BD0993FD30218C45E7DBE769A4D8A78D17D216C4C384A |