Result for 10FA95BB886FBB6AB87E4FE81BC31448907E1115

Query result

Key Value
FileName./usr/share/doc/python3-fuzzywuzzy/changelog.Debian.gz
FileSize662
MD5FC69B0242D2024769D8CEC100DDCFE03
SHA-110FA95BB886FBB6AB87E4FE81BC31448907E1115
SHA-256EBB240D793E8C53671975D247789C076F8CFA4EE56C005623E31025B9A97051A
SSDEEP12:X1FZ24L0BKExGVTZ+VmYttfuQ2Laayrc83DaXW/EVjHnKIxIINu28qz6CcPuNr26:X1m4L0BtYUMTajmZbXISbWwNr26
TLSHT1AF0168499027763DD76104BEC24AB219392B61541D6BB647178B1DE501506B1DF4ECAC
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
FileSize10884
MD51700071CD20EFC3971A7B552E17C0B00
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 sort: 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
PackageVersion0.11.1-2
SHA-171D15538CDD47E9E897CA15F85DFDBEE8844CEC5
SHA-2564FA84942674D8D152B7AA8D7FFE2B3683522256F77D854DC0FC57B251BDBBF61