head 1.1; access; symbols pkgsrc-2023Q4:1.1.0.36 pkgsrc-2023Q4-base:1.1 pkgsrc-2023Q3:1.1.0.34 pkgsrc-2023Q3-base:1.1 pkgsrc-2023Q2:1.1.0.32 pkgsrc-2023Q2-base:1.1 pkgsrc-2023Q1:1.1.0.30 pkgsrc-2023Q1-base:1.1 pkgsrc-2022Q4:1.1.0.28 pkgsrc-2022Q4-base:1.1 pkgsrc-2022Q3:1.1.0.26 pkgsrc-2022Q3-base:1.1 pkgsrc-2022Q2:1.1.0.24 pkgsrc-2022Q2-base:1.1 pkgsrc-2022Q1:1.1.0.22 pkgsrc-2022Q1-base:1.1 pkgsrc-2021Q4:1.1.0.20 pkgsrc-2021Q4-base:1.1 pkgsrc-2021Q3:1.1.0.18 pkgsrc-2021Q3-base:1.1 pkgsrc-2021Q2:1.1.0.16 pkgsrc-2021Q2-base:1.1 pkgsrc-2021Q1:1.1.0.14 pkgsrc-2021Q1-base:1.1 pkgsrc-2020Q4:1.1.0.12 pkgsrc-2020Q4-base:1.1 pkgsrc-2020Q3:1.1.0.10 pkgsrc-2020Q3-base:1.1 pkgsrc-2020Q2:1.1.0.8 pkgsrc-2020Q2-base:1.1 pkgsrc-2020Q1:1.1.0.4 pkgsrc-2020Q1-base:1.1 pkgsrc-2019Q4:1.1.0.6 pkgsrc-2019Q4-base:1.1 pkgsrc-2019Q3:1.1.0.2 pkgsrc-2019Q3-base:1.1; locks; strict; comment @# @; 1.1 date 2019.08.26.18.32.43; author ng0; state Exp; branches; next ; commitid UgDIijxwJRp7gzAB; desc @@ 1.1 log @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. @ text @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. @