Result for 7E95866F3DDAC7A2AFE821CB6545D6DDDB215E37

Query result

Key Value
FileName./usr/share/doc/python3-fuzzywuzzy/changelog.Debian.gz
FileSize695
MD53648885C8C4973AFC66BF003B268D5B3
SHA-17E95866F3DDAC7A2AFE821CB6545D6DDDB215E37
SHA-2560833C7C2649E07BF13136E1E6EAA95BF62D67B4FE89417014018B9B28EEC72FF
SSDEEP12:XlumHsP4P59ky0VlJ77ZVyeNvrlTyzQrS93uEhV548kJo/Lo2EtjeQdXvCg:Xlu1P4P59p07J7ueF1y8rSNn548kJ+oR
TLSHT1790144A260AB93BE4CA39D587B2E455857EF063301186760D78748CCC8C7D15A32587E
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
FileSize12160
MD5AB3CF2ECA2B2029AD80892A041FFCA92
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
PackageVersion0.17.0-1
SHA-1DFD7504D9AB3A0851C9532A9D0A54B87320DDC45
SHA-25695EA89748D383BC20E804E072BF0722A396D28A207237009B20409EF9CB4ED9C