fuzzywuzzy 0.15.1-1 source package in Ubuntu

Changelog

fuzzywuzzy (0.15.1-1) unstable; urgency=medium

  * New upstream release.
  * Update Standards-Version (no changes).

 -- Edward Betts <edward@4angle.com>  Thu, 05 Oct 2017 09:04:41 +0100

Upload details

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

Bionic: [FULLYBUILT] amd64

Downloads

File Size SHA-256 Checksum
fuzzywuzzy_0.15.1-1.dsc 2.3 KiB baa458d9eaa63b312173cf15ac006fe77a34b9dcdfc98f66f01608af776655e9
fuzzywuzzy_0.15.1.orig.tar.gz 26.1 KiB 3ed1a125d682208aa327516eb56fc69cff76215230efa0792afd1f3cb6975214
fuzzywuzzy_0.15.1-1.debian.tar.xz 3.3 KiB 6378bfbbd53e194107876966e1a8a09969aedace11e466ecae5481733d96d8dd

Available diffs

No changes file available.

Binary packages built by this source

python-fuzzywuzzy: Python 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.

python3-fuzzywuzzy: Python 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.