Key | Value |
---|---|
FileName | ./usr/lib/python2.7/dist-packages/Levenshtein/_levenshtein.x86_64-linux-gnu.so |
FileSize | 72632 |
MD5 | B64F1E2B5EECF2F06F6E9E70E2177C38 |
SHA-1 | 6F7A39BBEDA83C99FA215A5BCD24AF4EFD405F2A |
SHA-256 | 5E492B2DB975CFB6E74ACF9855780AB979E17B7888C211BA32D41E17522F7A84 |
SSDEEP | 1536:xJEHpAcIsJaNmZ0iqNo4zNPlBXrpB8ALiBTp+s:ypP9JumiiqND5N1rpqALaTUs |
TLSH | T13D63284771A104FDC5EA84308BD7A9537971B05453362EBF38C88A352B1BE291B7FB62 |
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 | 36332 |
MD5 | 1390CDCF21B987A0E9669C9FE7C80338 |
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 | Sandro Tosi <morph@debian.org> |
PackageName | python-levenshtein |
PackageSection | python |
PackageVersion | 0.12.0-2+b2 |
SHA-1 | F08B3E1D98E7258A937D91F62A67E273BFDD32B1 |
SHA-256 | BCEBCA1894437819DC7B9F1500A08A66B0F821B86E7551012A3E304C726890A0 |