Result for 699B3C00ADD5C97477D93E9CC3D8975423049B6F

Query result

Key Value
FileName./usr/share/doc/python3-fuzzywuzzy/copyright
FileSize2369
MD59E2F8F7F61FD590BDF7465155444DE4A
SHA-1699B3C00ADD5C97477D93E9CC3D8975423049B6F
SHA-25649A34B9B8FF95E1AF600B99DF7967AA9DA0F6B89F9E7CCEF123D1DAD23CD506F
SSDEEP48:yAjAP0J5PPv2Ew1QH+shIpa3ecFrKjGEyvHqyImQc:/fP+rQHdesKC3gFc
TLSHT1AB41C50D7540877B149023E139566CCAF32B73AB75BF52C0904DD389AA0A87D66F64D8
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