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import json
from tokenizers import Tokenizer
tokenizer = Tokenizer.from_file("20B_tokenizer_chinese.json")
print("vocab_size with added_tokens:", tokenizer.get_vocab_size(with_added_tokens=True))
print("vocab_size without added_tokens:", tokenizer.get_vocab_size(with_added_tokens=False))
def test_token():
"""
:return:
"""
text = " \t\n中国解决方法黑白侗鸩玥，。！"
# text = open("../../data_sample/EBKE20150806001_epub_30198917_30198917.txt", "r", encoding="utf-8").readline()
encoding = tokenizer.encode(text)
decoding = tokenizer.decode(encoding.ids)
print(decoding)
for word in text:
encoding = tokenizer.encode(word)
for token_id in encoding.ids:
decode_str = tokenizer.decode([token_id]) # 特殊字符解码后会统一变成 �，对应 "\ufffd"
token = tokenizer.id_to_token(token_id)
print(word, token_id, decode_str, json.dumps(decode_str), token, json.dumps(token))
def test_encode():
text = "中国解决方法黑白侗鸩，。！？；一个人去哪里疗疗<|endoftext|>一 个刹车卉"
encoding = tokenizer.encode(text)
print(tokenizer.decode(encoding.ids))
for token_id in encoding.ids:
decode_str = tokenizer.decode([token_id]) # 特殊字符解码后会统一变成 �，对应 "\ufffd"
token = tokenizer.id_to_token(token_id)
print(token_id, decode_str, json.dumps(decode_str), token, json.dumps(token))
def test_decode():
encoding = [30903, 20287, 20005, 52300, 25949, 30329, 50039, 31949, 25538,
34698, 18764, 5225, 53915, 163, 223]
decode_str = tokenizer.decode(encoding, skip_special_tokens=False)
print(decode_str)
# test_token()
test_encode()
# test_decode()
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