Key | Value |
---|---|
FileName | ./usr/lib/python2.7/dist-packages/Levenshtein/_levenshtein.mips-linux-gnu.so |
FileSize | 77596 |
MD5 | 7774FE1368EFE59BA1FEC6E1D7CB0240 |
SHA-1 | 13306DC6EF709C3B2C475E450B96119C299F6212 |
SHA-256 | D3714E05E0D5549A765DB9879BC19A21AF000BCD4610B9517B23CD313F462F5F |
SSDEEP | 1536:HP7hI5TxDA7A/uV4Zar4j1iDIZ5UWUoZMugbyN:HTYbC4wna5PHgbm |
TLSH | T1A9734C2737008F9EF346C73096B3CE91AAA481E321E585AAD16DE3097E50D5D7137EE8 |
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 | 34498 |
MD5 | 287A4C12D8AC220CE9DE56B65C9B1E08 |
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 | 6B69DCDC32F2EF29BDE7DD271480AE1DC8510A4B |
SHA-256 | C592C446ABB3C20D0AF17A83FCDDE0F1B5202D7E925A24EFCFE5049CBF39171A |