def make_hashtable_depth2():
words = hashmap_open_resizable.HashMap()
sentence = []
with open("sex.txt") as f:
for line in f:
new_line = line.split()
for i in range(0, len(new_line)):
new_line[i] = new_line[i].strip(",.\"\';:-!?()").lower()
sentence.append(new_line[i])
with open("bible.txt") as f:
for line in f:
new_line = line.split()
for i in range(0, len(new_line)):
new_line[i] = new_line[i].strip(",.\"\';:-!?()").lower()
sentence.append(new_line[i])
for i in range(0, len(sentence)):
word = sentence[i]
try:
if hashmap_open_resizable.contains(words, word):
following = hashmap_open_resizable.get(words, word)
if hashmap_open_resizable.contains(following, sentence[i+1]):
second = hashmap_open_resizable.get(following, sentence[i+1])
second.append(sentence[i+2])
else:
second = [sentence[i+2]]
hashmap_open_resizable.put(following, sentence[i + 1], second)
hashmap_open_resizable.put(words, word, following)
else:
following = hashmap_open_resizable.HashMap()
second = [sentence[i+2]]
hashmap_open_resizable.put(following, sentence[i+1], second)
hashmap_open_resizable.put(words, word, following)
except IndexError:
return words
def make_hashtable_depth(n: int, sentence):
words = hashmap_open_resizable.HashMap()
for word in range(0, len(sentence)):
try:
make_hashtable_rec(n, words, 0, sentence, word)
except IndexError:
print("Out of range.")
return words
def make_hashtable():
words = hashmap_open_resizable.HashMap()
f = "I hope to learn a ton this year. I would like to learn about a civilization from the past year."
for word in f.split():
word = word.strip(",.\"\';:-!?()").lower()
if hashmap_open_resizable.contains(words, word):
hashmap_open_resizable.put(words, word, hashmap_open_resizable.get(words, word) + 1)
else:
hashmap_open_resizable.put(words, word, 1)
word = hashmap_open_resizable.put(words, "test", 1)
if hashmap_open_resizable.contains(words, "test"):
print(words)
def make_hashtable_nback(n: int, sentence):
words = hashmap_open_resizable.HashMap()
for word in range(0, len(sentence) - n):
phrase = ""
for i in range(0, n):
phrase += sentence[word + i] + " "
if hashmap_open_resizable.contains(words, phrase):
following = hashmap_open_resizable.get(words, phrase)
following.append(sentence[word + n])
hashmap_open_resizable.put(words, phrase, following)
else:
hashmap_open_resizable.put(words, phrase, [sentence[word + n]])
return words
def make_hashtable_rec(n:int, words, l:int, sentence:list, word:int):
if n == 0:
return [(sentence[word + l])]
else:
if hashmap_open_resizable.contains(words, sentence[word+l]):
following = hashmap_open_resizable.get(words, sentence[word + l])
if type(following) == list:
hashmap_open_resizable.put(words, sentence[word + l], following + (make_hashtable_rec(n-1, words, l+1, sentence, word)))
return words
else:
hashmap_open_resizable.put(words, sentence[word + l], make_hashtable_rec(n-1, following, l+1, sentence, word))
return words
else:
if n > 1:
following = hashmap_open_resizable.HashMap()
else:
following = []
hashmap_open_resizable.put(words, sentence[word + l], following)
return make_hashtable_rec(n, words, l, sentence, word)
def make_hashtable_list():
words = hashmap_open_resizable.HashMap()
sentence = []
with open('atotc.txt') as f:
for line in f:
new_line = line.split()
for i in range(0, len(new_line)):
new_line[i] = new_line[i].strip(",.\"\';:-!?()").lower()
sentence.append(new_line[i])
for i in range(0, len(sentence)):
word = sentence[i]
try:
if hashmap_open_resizable.contains(words, word):
following = hashmap_open_resizable.get(words, word)
following.append(sentence[i+1])
else:
following = [sentence[i+1]]
hashmap_open_resizable.put(words, word, following)
except IndexError:
return words