Hello: Just a quick question.. I hope. I am trying to use this program to generate random text from a corpus.. in this case a portion of a book.
I have a text file that is my corpus: (This is the intro, won't post the whole thing here)
The Project Gutenberg EBook of My Man Jeeves, by P. G. Wodehouse
#27 in our series by P. G. Wodehouse
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Next I have the class I am trying to use:
import random
class Markov(object):
def __init__(self, open_file):
self.cache = {}
self.open_file = open_file
self.words = self.file_to_words()
self.word_size = len(self.words)
self.database()
def file_to_words(self):
self.open_file.seek(0)
data = self.open_file.read()
words = data.split()
return words
def triples(self):
""" Generates triples from the given data string. So if our string were
"What a lovely day", we'd generate (What, a, lovely) and then
(a, lovely, day).
"""
if len(self.words) < 3:
return
for i in range(len(self.words) - 2):
yield (self.words[i], self.words[i+1], self.words[i+2])
def database(self):
for w1, w2, w3 in self.triples():
key = (w1, w2)
if key in self.cache:
self.cache[key].append(w3)
else:
self.cache[key] = [w3]
def generate_markov_text(self, size=25):
seed = random.randint(0, self.word_size-3)
seed_word, next_word = self.words[seed], self.words[seed+1]
w1, w2 = seed_word, next_word
gen_words = []
for i in xrange(size):
gen_words.append(w1)
w1, w2 = w2, random.choice(self.cache[(w1, w2)])
gen_words.append(w2)
return ' '.join(gen_words)
And finally the main that gives the error: "'Markov' object has no attribute 'file_to_words'"
import Class
file_ = open('derp.txt')
markov = Class.Markov(file_)
markov.generate_markov_text()
What is going wrong here? Thanks.
You need to indent the file_to_words method so that it is part of the Markov class. The way you have it at the moment it is a module level function in the Class function. Move everything in the file_to_words method (including the def line) 4 spaces to the right.
Update: The same goes for all the other methods too. Python uses whitespace/indentation to denote scope.