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main.py
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import random
from typing import Optional, List
from abc import ABC, abstractmethod
ENG_CHARS = "abcdefghijklmnopqrstuvwxyz"
class Tokenizer(ABC):
@abstractmethod
def next(self) -> Optional[str]:
raise NotImplementedError
class SimpleTokenizer(Tokenizer):
def __init__(self, tokens: List[str]):
self.tokens = tokens
self.pos = 0
def next(self) -> Optional[str]:
if self.pos >= len(self.tokens):
return None
token = self.tokens[self.pos]
self.pos += 1
return token
def reset(self) -> 'SimpleTokenizer':
self.pos = 0
return self
class CharTokenizer(Tokenizer):
def __init__(self, filepath: str):
with open(filepath, "r", encoding="utf-8") as f:
self.text = f.read()
self.pos = 0
def next(self) -> Optional[str]:
if self.pos >= len(self.text):
return None
token = self.text[self.pos]
self.pos += 1
return token
class WordTokenizer(Tokenizer):
def __init__(self, filepath: str):
with open(filepath, "r", encoding="utf-8") as f:
self.text = f.read()
self.pos = 0
def next(self) -> Optional[str]:
while self.pos < len(self.text):
c = self.text[self.pos].lower()
if c == " ":
self.pos += 1
if self.pos >= len(self.text):
return None
c = self.text[self.pos].lower()
if c not in ENG_CHARS:
self.pos += 1
return c
token = ""
while self.pos < len(self.text):
c = self.text[self.pos].lower()
if c not in ENG_CHARS:
break
self.pos += 1
token += c
return token
class BiGram:
def __init__(self, tokenizer: Tokenizer):
tokens = set()
cnt1 = {}
cnt2 = {}
last_token = None
while True:
token = tokenizer.next()
if token is None:
break
tokens.add(token)
if token not in cnt1:
cnt1[token] = 0
cnt1[token] += 1
if last_token is not None:
p = (last_token, token)
if p not in cnt2:
cnt2[p] = 0
cnt2[p] += 1
last_token = token
frequency = {}
for k, v in cnt2.items():
frequency[k] = v / cnt1[k[0]]
self.tokens = tokens
self.frequency = frequency
def next(self, token):
if token not in self.tokens:
return random.choice(list(self.tokens))
population = []
weights = []
for next_token in self.tokens:
population.append(next_token)
p = (token, next_token)
if p not in self.frequency:
weights.append(0)
else:
weights.append(self.frequency[p])
return random.choices(population=population, weights=weights, k=1)[0]
def test_bigram():
tokenizer = SimpleTokenizer(["a", "c", "b", "c"])
bigram = BiGram(tokenizer)
print(bigram.tokens)
print(bigram.frequency)
print(bigram.next("a"))
print(bigram.next("b"))
print(bigram.next("c"))
def test_char_tokenizer():
tokenizer = CharTokenizer("shakespeare.txt")
bigram = BiGram(tokenizer)
token = ""
result = [token]
for _ in range(1000):
token = bigram.next(token)
result.append(token)
print("".join(result))
def test_word_tokenizer():
tokenizer = WordTokenizer("shakespeare.txt")
bigram = BiGram(tokenizer)
token = ""
result = [token]
for _ in range(1000):
next_token = bigram.next(token)
if next_token[0] in ENG_CHARS:
result.append(" ")
if token[0] not in ENG_CHARS:
result.append(next_token[0].upper() + next_token[1:])
else:
result.append(next_token)
else:
result.append(next_token)
token = next_token
print("".join(result))
if __name__ == "__main__":
test_bigram()
print("=" * 80)
test_char_tokenizer()
print("=" * 80)
test_word_tokenizer()