def generate_food_chains():
words = []
food_words = Food_Word.get_all_words()
dishes = Dish.get_all_dishes()
words.extend(food_words)
words.extend(dishes)
# Generate Markov chains.
# Since dish names are short, I'm using an n-gram size of 1.
for i in range(len(words)):
word = words[i]
for j in range(len(word) - 1):
char = word[j]
next = word[j + 1]
if CHAINS.get(char):
CHAINS[char].append(next)
else:
CHAINS[char] = [next]
def generate_food_chains():
words = []
food_words = Food_Word.get_all_words()
dishes = Dish.get_all_dishes()
words.extend(food_words)
words.extend(dishes)
# Generate Markov chains.
# Since dish names are short, I'm using an n-gram size of 1.
for i in range(len(words)):
word = words[i]
for j in range(len(word) - 1):
char = word[j]
next = word[j + 1]
if CHAINS.get(char):
CHAINS[char].append(next)
else:
CHAINS[char] = [next]
