Result for 89A5160F4FD3C1F0358BF07E70BC652BE7E51DD4

Query result

Key Value
FileName./usr/share/doc/python3-fuzzywuzzy/changelog.Debian.gz
FileSize1458
MD5680B5B13EF6E9F8663363D3550BBA559
SHA-189A5160F4FD3C1F0358BF07E70BC652BE7E51DD4
SHA-256B044F812F05F04828E19F9A7DE901AF1E805DD73476A8EC831B59B126C797C67
SSDEEP24:X4HAlFsxRIxd1W0LqqiF+8DctOK129opCLIHeITyd1BUCwMjA1VvihN7:XFlazrpFRA2uMxgWBU3MU1V0N7
TLSHT1A5313B23A0039AD66341F9282EB559FE545AED036319E007CC07F060FD06B1CBF70D61
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
FileSize20728
MD5BCC03A6649BF4AC8C0F0F2165FAE6108
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.
PackageMaintainerDebian Python Team <team+python@tracker.debian.org>
PackageNamepython3-fuzzywuzzy
PackageSectionpython
PackageVersion0.18.0-2
SHA-1993C079F219337F763EE63A68C8D97393C2BD704
SHA-256BCE2B7447D6D6B348F744A158866F4F03AAF3A2C4316E29B4021066875FE2D61