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Another text generator based on Markov chains.

Project description

Installation

Using pip:

  • pip3 install markovgen –user

Or

From the git repository:

Command-line usage

Usage:

python3 -m markovgen <extracter> <path to log file>

Supported extracters are:

  • srt

  • supybot

  • weechat

  • xchat

  • plain

Usage as a library

markovgen.Markov:
__init__(messages=[]):

takes an optional list of initial messages.

feed(message):

takes a message and adds it to the cache.

feed_from_file(file_descriptor, extracter):

Reads the file descriptor line by line, apply the extracter to it, and feeds the cache with the return value of the extracter.

generate_markov_text(max_size=30, seed=None, backward=False):

Generate a text based on the cache. Selects a random word in the cache as the first (resp. last) word, and continues forward (resp. backward) using the cache in the right direction, until it selects a message end from the cache or that the max_size is met. The seed may be a string or a 2-tuple of strings.

available_seeds(backward=False):

Returns a view on the 2-tuples of words in the corpus. Useful if you want to match them against a new message.

@mixed_encoding_extracting:

decorator for extracters that handle decoding messages with the right charset (if chardet or charade is installed) or as utf8 (otherwise)

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