./textproc/py-markovify, Simple and extensible Markov chain generator

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Branch: CURRENT, Version: 0.7.2, Package name: py37-markovify-0.7.2, Maintainer: ng0

Markovify is a simple, extensible Markov chain generator. Right now,
its primary use is for building Markov models of large corpora of
text and generating random sentences from that.

Its features include:
* Simplicity. "Batteries included," but it is easy to override key methods.
* Models can be stored as JSON, allowing you to cache your results
and save them for later.
* Text parsing and sentence generation methods are highly extensible,
allowing you to set your own rules.


Required to run:
[devel/py-setuptools] [textproc/py-Unidecode] [lang/python37]

Required to build:
[pkgtools/cwrappers]

Master sites:

SHA1: 74f3f0dc082dbe07f869d80e5b5c3958bc95f018
RMD160: e82fade7a68a8ed3c3029a5002640c736373d5cd
Filesize: 16.638 KB

Version history: (Expand)


CVS history: (Expand)


   2019-08-27 07:32:06 by Adam Ciarcinski | Files touched by this commit (1) | Package updated
Log message:
py-markovify: update HOMEPAGE, add USE_LANGUAGES
   2019-08-26 21:05:02 by ng0 | Files touched by this commit (1)
Log message:
textproc/py-markovify: Sort PLIST entries.
   2019-08-26 20:32:43 by ng0 | Files touched by this commit (4)
Log message:
Add textproc/py-markovify version 0.7.2

Markovify is a simple, extensible Markov chain generator. Right now,
its primary use is for building Markov models of large corpora of
text and generating random sentences from that.

Its features include:
* Simplicity. "Batteries included," but it is easy to override key methods.
* Models can be stored as JSON, allowing you to cache your results
  and save them for later.
* Text parsing and sentence generation methods are highly extensible,
  allowing you to set your own rules.