Key | Value |
---|---|
FileName | ./usr/lib/python3/dist-packages/Levenshtein/_levenshtein.cpython-39-i386-linux-gnu.so |
FileSize | 83640 |
MD5 | 21C5E9A48ED1B0921712368E28EA6B54 |
SHA-1 | 22C02F9D79DCFD473AA7B2D69685A7909350F2C9 |
SHA-256 | 86AE1AACD7617301306287975123186CEDF4A977B73AA908F64EE93FF796ECBA |
SSDEEP | 1536:n9XyeFfeKIgG3q7RMYhphkmagqrE88g9yyKBU3+vdPEiNj4:n5FIgG3qdtphkVmg9SU |
TLSH | T10B831A86E7C7D1F1F66292B646DB962B6A745100C023F2E1FE0D2681BD7A7513D36338 |
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 | 40788 |
MD5 | 6A64815B368BDEBF44DD85AE0BC4051B |
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 | 7A63258015825C8BDACFFD4BD306901CB693643A |
SHA-256 | 00B53167C94A91904802D9CAEDED9C817327E845338990DF82A74F7FD6C9D3CD |