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markov
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======
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Generate markov chains for chatbots and freestyle rap contests.
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examples
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========
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qwantz
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------
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qwantz.js:
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var util = require('util');
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var fs = require('fs');
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var markov = require('markov');
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var m = markov(1);
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var s = fs.createReadStream(__dirname + '/qwantz.txt');
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m.seed(s, function () {
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var stdin = process.openStdin();
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util.print('> ');
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stdin.on('data', function (line) {
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var res = m.respond(line.toString()).join(' ');
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console.log(res);
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util.print('> ');
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});
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});
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output:
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$ node example/qwantz.js
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> Hello friend.
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Oh, that hurts me. How could fall apart, not unlike this tiny house. remains a danger when you? As I see him (quite often, Yes, As Thank I you? take have on! forgotten male, That oppression is is a A friend
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> That is troubling news!
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I've I had must to guard do against with such the a irony part of of their their fundamental fundamental injustices.
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> Justice eh? SOMEBODY LIGHT UP THE BATSIGNAL
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crazy I Utahraptor feel slipped alot in better! your about problems the put future! behind full You? of go My down perspective. The
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methods
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=======
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markov(order)
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-------------
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Create a new markov object of order `order`, which defaults to 2.
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.seed(s, cb)
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------------
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Seed the markov object with a string or stream `s`.
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If `s` is a string, transition probabilities will be updated for every grouping
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of the previously specified order with dangling links at the front and end in
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the appropriate direction.
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If `s`s is a stream, data events will be line-buffered and fed into `.seed()` again
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line-by-line.
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If `cb` is specified it will fire once the seed text is fully ingested.
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.search(text)
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-------------
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Search for and return some key found in the text body `text`.
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Return `undefined` if no matches were found.
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.pick()
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-------
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Choose a key at random.
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.next(key)
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----------
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Find a key likely to follow after `key`.
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Returns a hash with keys `key`, the canonical next key and `word`, a raw form of
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`key` as it appeared in the seed text.
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.prev(key)
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----------
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Find a key likely to come before `key`.
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Returns a hash with keys `key`, the canonical next key and `word`, a raw form of
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`key` as it appeared in the seed text.
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.forward(key, limit)
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--------------------
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Generate a markov chain forward starting at `key` and returning an array of the
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raw word forms along the way.
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Stop when the traversal hits a terminal entry or when limit words have been
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generated if limit is specified.
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.backward(key, limit)
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---------------------
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Generate a markov chain backward starting at `key` and returning an array of the
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raw word forms along the way.
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Stop when the traversal hits a terminal entry or when limit words have been
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generated if limit is specified.
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.fill(key, limit)
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-----------------
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Generate a markov chain in both directions starting at `key`. Return an array of
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the raw word forms along the way including the raw word form of the supplied
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`key`.
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Stop when the traversal hits a terminal entry or when limit words have been
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generated if limit is specified.
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.respond(text, limit)
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---------------------
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Search for a starting key in `text` and then call `.fill(key, limit)` on it.
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