This is a pre-production deployment of Warehouse, however changes made here WILL affect the production instance of PyPI.
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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)
Release History

Release History

0.5

This version

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0.4.1

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0.4

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0.3.1

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0.3

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0.2.5

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0.2.4

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0.2.3

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0.2.2

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0.2.1

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0.2

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0.1

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Download Files

Download Files

TODO: Brief introduction on what you do with files - including link to relevant help section.

File Name & Checksum SHA256 Checksum Help Version File Type Upload Date
markovgen-0.5.tar.gz (3.6 kB) Copy SHA256 Checksum SHA256 Source Mar 3, 2016

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