Key | Value |
---|---|
FileName | ./usr/lib/python3/dist-packages/Levenshtein/_levenshtein.cpython-35m-powerpc64le-linux-gnu.so |
FileSize | 134032 |
MD5 | 18E09CF91DA7C3383B554BF3BC9E2FCA |
SHA-1 | 5308A0DF0DAD31CDEC77093578A987B955657B4E |
SHA-256 | E70DB131E0148C406574430E2F0BF04955B89035B9628710A9FCF6F64487718A |
SSDEEP | 1536:QIIiz82rhjX6yyzhqLcif1hwSzUmAq2wEIT57iqALi:9WITsuVn573AL |
TLSH | T17DD30926324C4B67EF411C3B878DA91072627C074365A1E7B914032F6F9EF1E8E6BD59 |
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 | 32336 |
MD5 | CBDDD8000C6CD84C210E9703322DEE99 |
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 | C3854B6CEF2EE0EE38F55CB8A4DA53783FE928DF |
SHA-256 | ACEB2FECA80A46D66BD3E4946413B7EF74C90D5DD699239CD015C19EC3725901 |