fuzzywuzzy 0.8.1-4 source package in Ubuntu

Changelog

fuzzywuzzy (0.8.1-4) unstable; urgency=medium

  * debian/tests/control: fix Depends, pep8 module is now in python-pep8

 -- Edward Betts <edward@4angle.com>  Fri, 11 Mar 2016 07:10:55 +0000

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Uploaded by:
Debian Python Modules Team
Uploaded to:
Sid
Original maintainer:
Debian Python Modules Team
Architectures:
all
Section:
misc
Urgency:
Medium Urgency

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Builds

Xenial: [FULLYBUILT] amd64

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File Size SHA-256 Checksum
fuzzywuzzy_0.8.1-4.dsc 2.2 KiB 961070264c3e27d71f3dedf5da2e374ff55b835e80358628b8baa480cb12380d
fuzzywuzzy_0.8.1.orig.tar.gz 16.3 KiB d940bcf50b0046354fe0e9955389dd17b3771a22c5c62f92e99c449e6dc6aac6
fuzzywuzzy_0.8.1-4.debian.tar.xz 3.1 KiB ddab1bfcf288168bb34ce0e9164be89b0d0c642f4ea3570bcb10c085d38225bc

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Binary packages built by this source

python-fuzzywuzzy: Fuzzy string matching in Python

 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.

python3-fuzzywuzzy: Fuzzy string matching in Python (Python 3 version)

 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.