我在课堂上遇到问题，我不知道原因，有人可以帮助我吗？
问题出在 def together() 中，这是我的代码。
class MarkovGenerator(object):
def __init__(self, n, max):
self.n = n # order (length) of ngrams
self.max = max # maximum number of elements to generate
self.ngrams = dict() # ngrams as keys; next elements as values
beginning = tuple(["That", "is"]) # beginning ngram of every line
beginning2 = tuple(["on", "the"])
self.beginnings = list()
self.beginnings.append(beginning)
self.beginnings.append(beginning2)
self.sentences = list()
def tokenize(self, text):
return text.split(" ")
def feed(self, text):
tokens = self.tokenize(text)
# discard this line if it's too short
if len(tokens) < self.n:
return
# store the first ngram of this line
#beginning = tuple(tokens[:self.n])
#self.beginnings.append(beginning)
for i in range(len(tokens) - self.n):
gram = tuple(tokens[i:i+self.n])
next = tokens[i+self.n] # get the element after the gram
# if we've already seen this ngram, append; otherwise, set the
# value for this key as a new list
if gram in self.ngrams:
self.ngrams[gram].append(next)
else:
self.ngrams[gram] = [next]
# called from generate() to join together generated elements
def concatenate(self, source):
return " ".join(source)
# generate a text from the information in self.ngrams
def generate(self,i):
from random import choice
# get a random line beginning; convert to a list.
#current = choice(self.beginnings)
current = self.beginnings[i]
output = list(current)
for i in range(self.max):
if current in self.ngrams:
possible_next = self.ngrams[current]
next = choice(possible_next)
output.append(next)
# get the last N entries of the output; we'll use this to look up
# an ngram in the next iteration of the loop
current = tuple(output[-self.n:])
else:
break
output_str = self.concatenate(output)
return output_str
def together(self):
return "lalala"
if __name__ == '__main__':
import sys
import random
generator = MarkovGenerator(n=2, max=16)
for line in open("us"):
line = line.strip()
generator.feed(line)
for i in range(2):
print generator.generate(i)
print generator.together()
但我收到错误消息：
Traceback (most recent call last):
File "markovoo2.py", line 112, in <module>
print generator.together()
AttributeError: 'MarkovGenerator' object has no attribute 'together'
有谁知道原因吗？