Result for 2E2077D83A0F79931BD0C03DE2E459A36D250C42

Query result

Key Value
FileName./usr/share/doc/python3-fuzzywuzzy/changelog.Debian.gz
FileSize696
MD5A8E83824334E04CC2018AE7C456BF6CC
SHA-12E2077D83A0F79931BD0C03DE2E459A36D250C42
SHA-256CE4F80ACB39C9D945D38C5FB848CCAE102A0851A6CC28C9DFA22DD29BE1A13D7
SSDEEP12:XZcFWvyHpw8LmU7Bwd/T/vmwfg358mJywHZ2HfqVYGBo7AuMlxPpI5oRZPwzjCM:XZqWvyjLXlwdr/v/gJ8mQq+fWYGBoMhC
TLSHT10F014452381A74A30BC6954DF93802A92B7E3E29D7F1144B8DC93133511B8602577807
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
FileSize12124
MD52E9FE63C79AC0006F74F24162768F259
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
PackageVersion0.16.0-2
SHA-16560B03A850344E69453ABCE8398AC8FEC4D911D
SHA-2567EE58920866A9EAAC92CC4D95FD1EDCCB827BE1D328F5E634D7931FF973D6107