Result for 27EC48493B3D49218B7EB97FCC7C7940C79C3C6A

Query result

Key Value
FileName./usr/share/doc/python3-fuzzywuzzy/changelog.Debian.gz
FileSize764
MD5C4013BF732352DCD53BC2BAE5871D337
SHA-127EC48493B3D49218B7EB97FCC7C7940C79C3C6A
SHA-2566DC6B81D6B1BD2146104B97349FA7197FDE9EACEB81B3DC64A45743B6043BB2C
SSDEEP12:XvQG7N/5SUZWwrBLAvJunL/gQPrEwIYon+UTeggthnGzWRivFIay9F4TRn:Xvx/gmWw120D3PAwAnpygg/GHNITuR
TLSHT1BC01B56C54034D22EDA0CFC1CBF0948E7A26450E2061C873A2DDEF2ACCCAF0A058058A
hashlookup:parent-total1
hashlookup:trust55

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Parents (Total: 1)

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
FileSize12232
MD53E4BC3FD58511042491A021DF5E225CF
PackageDescriptionPython 3 module for fuzzy string matching Various methods for fuzzy matching of strings in Python, including: . - String similarity: Gives a measure of string similarity between 0 and 100. - Partial string similarity: Inconsistent substrings are a common problem when string matching. To get around it, use a "best partial" heuristic when two strings are of noticeably different lengths. - Token sort: This approach involves tokenizing the string in question, sorting the tokens alphabetically, and then joining them back into a string. - Token set: A slightly more flexible approach. Tokenize both strings, but instead of immediately sorting and comparing, split the tokens into two groups: intersection and remainder. . This package contains fuzzywuzzy for Python 3.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamepython3-fuzzywuzzy
PackageSectionpython
PackageVersion0.17.0-2build1
SHA-1B3FED7E19845EC4578BA4E03367509934206E6A1
SHA-25618E2EBFD71F4BC4A5EDACCC3FD84E83E1369FB6115CF6D2420376440AD052380