Result for E1D6BCA1B2750D451C0995E2ED5BF70B876E1EAC

Query result

Key Value
FileName./usr/share/doc/python3-fuzzywuzzy/changelog.Debian.gz
FileSize656
MD5D09E0221DDB764BB36538CD8438A0600
SHA-1E1D6BCA1B2750D451C0995E2ED5BF70B876E1EAC
SHA-2566B748CE120DCE00BB0DF5A2FC45A07A46287BD46A913637E9C8DCAB428A6DE7F
SSDEEP12:X7mFCMShhd+uqiGTAp7oy68YrgyH8Ox3xvtZAfZ2j9jDgIG4sb61ySHq/:XyFtS3GlA+QYkyFbLAfZ2jB041yZ
TLSHT196F083080DAB61D8D8A000FF801C3F76FCD78C128BB12810608A8A4BA21880B9D3410C
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
FileSize17112
MD5BC496D5A5B0390D6CD37EE5585401DB8
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
PackageVersion0.14.0-1
SHA-168DAC8661AA9DF8DEA057A3B0F63A34457EC59CC
SHA-256DC086A18D7A250B322761ECFE5FFE792D0958FE381A5B73617EEB8514CC07C93