Result for F2621E61485C39FB2BF970FF29E504361200A147

Query result

Key Value
FileName./usr/share/doc/python-fuzzywuzzy/changelog.Debian.gz
FileSize683
MD5016A80BE18DEF95F96B979E07C947040
SHA-1F2621E61485C39FB2BF970FF29E504361200A147
SHA-25648BA159FFCC92BBDDD18637FDEBCAB99937D3D443506B9DAD3959EA198103845
SSDEEP12:XDdEnaZv37Ga5u0HvudTwU6oUplBiSIEL/2zc8bhGpOuetWYVkRDJy7q/Yf5C:XZEncT00H2dsviSbacgoegYVkRD/Yf5C
TLSHT1C6018308EA721E7D6FDF7368A86F570D0B224B670E3E8A43DE6301D2641ECCC55A60C9
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
FileSize10592
MD5961F10023E5877F9DB09E673EC490326
PackageDescriptionFuzzy string matching in Python 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 sort: A slightly more flexible approach. Tokenize both strings, but instead of immediately sorting and comparing, split the tokens into two groups: intersection and remainder.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamepython-fuzzywuzzy
PackageSectionpython
PackageVersion0.10.0-1
SHA-12F269922E786C97F0C0C969B603D6CC3CAD375F8
SHA-2560990E0D9EBC76FFA87893A017A613448901AFDB051A119A138577E14F1DE1A5C