fuzzywuzzy 0.10.0-1 source package in Ubuntu

Changelog

fuzzywuzzy (0.10.0-1) unstable; urgency=medium

  * New upstream release.

 -- Edward Betts <edward@4angle.com>  Mon, 21 Mar 2016 17:14:04 +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

See full publishing history Publishing

Series Pocket Published Component Section
Xenial release universe misc

Builds

Xenial: [FULLYBUILT] amd64

Downloads

File Size SHA-256 Checksum
fuzzywuzzy_0.10.0-1.dsc 2.2 KiB b1e8b46c7a8b01530959ee1e746e105c5677c80c8a66fdead9b0cde51f030314
fuzzywuzzy_0.10.0.orig.tar.gz 16.4 KiB d9c361944476006e4d9feee4ed1e3e0d9c51906c841d9a7ce9217050e9bfa4fc
fuzzywuzzy_0.10.0-1.debian.tar.xz 3.1 KiB 8c25676cc2750feb4409549cb6b27498e63aa96af331c7c6af8431d0e0ada587

Available diffs

No changes file available.

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.