Result for 2403C869AD51BA28260F1E30AA3984AA9D24EC57

Query result

Key Value
FileName./usr/share/doc/python3-fuzzywuzzy/changelog.Debian.gz
FileSize895
MD510743C394391E0681FFF9F4F461870A5
SHA-12403C869AD51BA28260F1E30AA3984AA9D24EC57
SHA-2562DAD441F69CE38514CCD6004CCF7DD85FC790827B364B3B45E554666F4E76FE2
SSDEEP12:XE3pbCATMUlh7yI0akA2edgLxYPG6wJcZy6oWHO6WWWo2GmgOLnoclA0n2vIK99M:X0p2ATHbmI5kEMoG6HyYTv8iv/9Tw
TLSHT15711EB1FCDC86504ECE34DBC79844CB54142AB6BF94035855E43F6A500418434E60F2B
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
FileSize20048
MD5058104A505D5B80F70FCB20B6E2DE29C
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.
PackageMaintainerDebian Python Team <team+python@tracker.debian.org>
PackageNamepython3-fuzzywuzzy
PackageSectionpython
PackageVersion0.18.0-4
SHA-1B6498C5D8E6F48ED7854253E4779934A03A90477
SHA-256DDDC6694F53D48179CE2B3A181CD25616357508D25B7102222334731734E7861