Result for 590CC8EF610F91A17499B93CD7E900230468AFCA

Query result

Key Value
FileName./usr/share/doc/python3-fuzzywuzzy/changelog.Debian.gz
FileSize602
MD5C84B95FCFA533A6552E72AA17F561F0B
SHA-1590CC8EF610F91A17499B93CD7E900230468AFCA
SHA-256FFD26524C55D9630D42BEDC8CD1F3968A38BA3847BECDE5E1641D12191445D3A
SSDEEP12:XHUbi6YOqYDhDIz22sayAFao71LRGsy8Qo7xQtLDyLMsvlyxA4R2B5FKFd:X36YshUag1LUJ8TQlAbvlV4R2B5c7
TLSHT10AF04762144AEF570474B5F0C41155F906BCC6AE01AA91E57925DC7D453072683D6CB4
hashlookup:parent-total1
hashlookup:trust55

Network graph view

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
FileSize17686
MD565AC28C4DE899C836D5B6C4B97A093AB
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
PackageVersion0.15.0-2
SHA-117B5F4A40F116E414E24D60C487E6D7B0C15AC6A
SHA-2568CC0453CB2C5397C5F39670E0E17588894FD91F16C49C48ADD23F7BD73428042