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Markov: remove the 'starts' dictionary

This commit is contained in:
Brian S. Stephan 2011-04-23 16:27:07 -05:00
parent 116251398e
commit 7f922dd2c9
1 changed files with 2 additions and 7 deletions
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9
modules/Markov.py
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@ -59,9 +59,6 @@ class Markov(Module):
Module.__init__(self, irc, config, server)
# load the existing chain starts from the database
self.starts = self._get_chain_beginnings()
def db_init(self):
"""Create the markov chain table."""
@ -239,8 +236,6 @@ class Markov(Module):
if len(words) <= 0:
return line
self.starts.append(words[0])
try:
db = self.get_db()
cur = db.cursor()
@ -277,7 +272,7 @@ class Markov(Module):
raise Exception("min_size is too large: %d" % min_size)
# start with an empty chain, and work from there
gen_words = [self.start1, self.start2, random.choice(self.starts)]
gen_words = [self.start1, self.start2]
# set up the number of times we've tried to hit the specified minimum
min_search_tries = 0
@ -328,7 +323,7 @@ class Markov(Module):
target_word = words[random.randint(0, len(words)-1)]
# start with an empty chain, and work from there
gen_words = [self.start1, self.start2, random.choice(self.starts)]
gen_words = [self.start1, self.start2]
# walk a chain, randomly, building the list of words
while len(gen_words) < max_size + 2 and gen_words[-1] != self.stop: