'''simple docstring'''





import argparse
import json
from typing import List

from ltp import LTP

from transformers.models.bert.tokenization_bert import BertTokenizer







def 						A__  (					__A	):







    '''simple docstring'''



    if (
        (cp >= 0X4e00 and cp <= 0X9fff)
        or (cp >= 0X3400 and cp <= 0X4dbf)  #
        or (cp >= 0X20000 and cp <= 0X2a6df)  #
        or (cp >= 0X2a700 and cp <= 0X2b73f)  #
        or (cp >= 0X2b740 and cp <= 0X2b81f)  #
        or (cp >= 0X2b820 and cp <= 0X2ceaf)  #
        or (cp >= 0Xf900 and cp <= 0Xfaff)
        or (cp >= 0X2f800 and cp <= 0X2fa1f)  #
    ):  #
        return True

    return False







def 						A__  (					__A	):







    '''simple docstring'''



    for char in word:
        _lowerCamelCase     :		Tuple 						=						ord(lowerCAmelCase_	)
        if not _is_chinese_char(lowerCAmelCase_	):
            return 0
    return 1







def 						A__  (					__A	):







    '''simple docstring'''
    _lowerCamelCase     :		Tuple 						=						set()

    for token in tokens:
        _lowerCamelCase     :		Tuple 						=						len(lowerCAmelCase_	) > 1 and is_chinese(lowerCAmelCase_	)
        if chinese_word:
            word_set.add(lowerCAmelCase_	)
    _lowerCamelCase     :		Any 						=						list(lowerCAmelCase_	)
    return word_list







def 						A__  (					__A   , __A	):







    '''simple docstring'''



    if not chinese_word_set:
        return bert_tokens
    _lowerCamelCase     :		str 						=						max([len(lowerCAmelCase_	) for w in chinese_word_set]	)

    _lowerCamelCase     :		Tuple 						=						bert_tokens
    _lowerCamelCase     :		Dict 						=						0, len(lowerCAmelCase_	)
    while start < end:
        _lowerCamelCase     :		Any 						=						True
        if is_chinese(bert_word[start]	):
            _lowerCamelCase     :		int 						=						min(end - start   , lowerCAmelCase_	)
            for i in range(lowerCAmelCase_   , 1   , -1	):
                _lowerCamelCase     :		int 						=						''''''.join(bert_word[start : start + i]	)
                if whole_word in chinese_word_set:
                    for j in range(start + 1   , start + i	):
                        _lowerCamelCase     :		Optional[int] 						=						'''##''' + bert_word[j]
                    _lowerCamelCase     :		Dict 						=						start + i
                    _lowerCamelCase     :		Dict 						=						False
                    break
        if single_word:
            start += 1
    return bert_word







def 						A__  (					__A   , __A   , __A	):







    '''simple docstring'''
    _lowerCamelCase     :		List[Any] 						=						[]

    for i in range(0   , len(lowerCAmelCase_	)   , 100	):
        _lowerCamelCase     :		Any 						=						ltp_tokenizer.pipeline(lines[i : i + 100]   , tasks=["""cws"""]	).cws
        _lowerCamelCase     :		List[Any] 						=						[get_chinese_word(lowerCAmelCase_	) for r in res]
        ltp_res.extend(lowerCAmelCase_	)
    assert len(lowerCAmelCase_	) == len(lowerCAmelCase_	)

    _lowerCamelCase     :		Dict 						=						[]
    for i in range(0   , len(lowerCAmelCase_	)   , 100	):
        _lowerCamelCase     :		Dict 						=						bert_tokenizer(lines[i : i + 100]   , add_special_tokens=lowerCAmelCase_   , truncation=lowerCAmelCase_   , max_length=512	)
        bert_res.extend(res["""input_ids"""]	)
    assert len(lowerCAmelCase_	) == len(lowerCAmelCase_	)

    _lowerCamelCase     :		Optional[Any] 						=						[]
    for input_ids, chinese_word in zip(lowerCAmelCase_   , lowerCAmelCase_	):
        _lowerCamelCase     :		Dict 						=						[]
        for id in input_ids:
            _lowerCamelCase     :		Optional[int] 						=						bert_tokenizer._convert_id_to_token(lowerCAmelCase_	)
            input_tokens.append(lowerCAmelCase_	)
        _lowerCamelCase     :		Dict 						=						add_sub_symbol(lowerCAmelCase_   , lowerCAmelCase_	)
        _lowerCamelCase     :		Tuple 						=						[]
        # We only save pos of chinese subwords start with ##, which mean is part of a whole word.
        for i, token in enumerate(lowerCAmelCase_	):
            if token[:2] == "##":
                _lowerCamelCase     :		Tuple 						=						token[2:]
                # save chinese tokens' pos
                if len(lowerCAmelCase_	) == 1 and _is_chinese_char(ord(lowerCAmelCase_	)	):
                    ref_id.append(lowerCAmelCase_	)
        ref_ids.append(lowerCAmelCase_	)

    assert len(lowerCAmelCase_	) == len(lowerCAmelCase_	)

    return ref_ids







def 						A__  (					__A	):







    '''simple docstring'''



    with open(args.file_name   , """r"""   , encoding="""utf-8"""	) as f:
        _lowerCamelCase     :		int 						=						f.readlines()
    _lowerCamelCase     :		int 						=						[line.strip() for line in data if len(lowerCAmelCase_	) > 0 and not line.isspace()]  # avoid delimiter like '\u2029'
    _lowerCamelCase     :		Union[str, Any] 						=						LTP(args.ltp	)  # faster in GPU device
    _lowerCamelCase     :		Any 						=						BertTokenizer.from_pretrained(args.bert	)

    _lowerCamelCase     :		Tuple 						=						prepare_ref(lowerCAmelCase_   , lowerCAmelCase_   , lowerCAmelCase_	)

    with open(args.save_path   , """w"""   , encoding="""utf-8"""	) as f:
        _lowerCamelCase     :		Dict 						=						[json.dumps(lowerCAmelCase_	) + '''\n''' for ref in ref_ids]
        f.writelines(lowerCAmelCase_	)


if __name__ == "__main__":
    lowerCAmelCase			:							Union[str, Any]     =argparse.ArgumentParser(description="prepare_chinese_ref")
    parser.add_argument(
        "--file_name",
        required=False,
        type=str,
        default="./resources/chinese-demo.txt",
        help="file need process, same as training data in lm",
    )
    parser.add_argument(
        "--ltp",
        required=False,
        type=str,
        default="./resources/ltp",
        help="resources for LTP tokenizer, usually a path",
    )
    parser.add_argument(
        "--bert",
        required=False,
        type=str,
        default="./resources/robert",
        help="resources for Bert tokenizer",
    )
    parser.add_argument(
        "--save_path",
        required=False,
        type=str,
        default="./resources/ref.txt",
        help="path to save res",
    )

    lowerCAmelCase			:							Union[str, Any]     =parser.parse_args()
    main(args)





from __future__ import annotations




class 	__snake_case	:





      '''simple docstring'''






      def __init__(					self     :				Tuple    ,  _UpperCamelCase     :				int = 0)				->str:


          """simple docstring"""


          _lowerCamelCase     :		Union[str, Any] 						=						key



      def 	_SCREAMING_SNAKE_CASE    (					self     :				Any    ,  _UpperCamelCase     :				str    ,  _UpperCamelCase     :				int)				->list[str]:


          """simple docstring"""


          assert isinstance(_UpperCamelCase    ,  _UpperCamelCase) and isinstance(_UpperCamelCase    ,  _UpperCamelCase)

          _lowerCamelCase     :		Union[str, Any] 						=						key or self.__key or 1

          # make sure key is an appropriate size
          key %= 255

          return [chr(ord(_UpperCamelCase) ^ key) for ch in content]



      def 	_SCREAMING_SNAKE_CASE    (					self     :				str    ,  _UpperCamelCase     :				str    ,  _UpperCamelCase     :				int)				->list[str]:


          """simple docstring"""


          assert isinstance(_UpperCamelCase    ,  _UpperCamelCase) and isinstance(_UpperCamelCase    ,  _UpperCamelCase)

          _lowerCamelCase     :		Optional[int] 						=						key or self.__key or 1

          # make sure key is an appropriate size
          key %= 255

          return [chr(ord(_UpperCamelCase) ^ key) for ch in content]



      def 	_SCREAMING_SNAKE_CASE    (					self     :				List[str]    ,  _UpperCamelCase     :				str    ,  _UpperCamelCase     :				int = 0)				->str:


          """simple docstring"""


          assert isinstance(_UpperCamelCase    ,  _UpperCamelCase) and isinstance(_UpperCamelCase    ,  _UpperCamelCase)

          _lowerCamelCase     :		int 						=						key or self.__key or 1

          # make sure key can be any size
          while key > 255:
              key -= 255

          # This will be returned
          _lowerCamelCase     :		Any 						=						""""""

          for ch in content:
              ans += chr(ord(_UpperCamelCase) ^ key)

          return ans



      def 	_SCREAMING_SNAKE_CASE    (					self     :				Optional[Any]    ,  _UpperCamelCase     :				str    ,  _UpperCamelCase     :				int = 0)				->str:


          """simple docstring"""


          assert isinstance(_UpperCamelCase    ,  _UpperCamelCase) and isinstance(_UpperCamelCase    ,  _UpperCamelCase)

          _lowerCamelCase     :		int 						=						key or self.__key or 1

          # make sure key can be any size
          while key > 255:
              key -= 255

          # This will be returned
          _lowerCamelCase     :		Optional[Any] 						=						""""""

          for ch in content:
              ans += chr(ord(_UpperCamelCase) ^ key)

          return ans



      def 	_SCREAMING_SNAKE_CASE    (					self     :				Optional[int]    ,  _UpperCamelCase     :				str    ,  _UpperCamelCase     :				int = 0)				->bool:


          """simple docstring"""


          assert isinstance(_UpperCamelCase    ,  _UpperCamelCase) and isinstance(_UpperCamelCase    ,  _UpperCamelCase)

          try:
              with open(_UpperCamelCase) as fin, open("""encrypt.out"""    ,  """w+""") as fout:
                  # actual encrypt-process
                  for line in fin:
                      fout.write(self.encrypt_string(_UpperCamelCase    ,  _UpperCamelCase))

          except OSError:
              return False

          return True




      def 	_SCREAMING_SNAKE_CASE    (					self     :				List[Any]    ,  _UpperCamelCase     :				str    ,  _UpperCamelCase     :				int)				->bool:


          """simple docstring"""


          assert isinstance(_UpperCamelCase    ,  _UpperCamelCase) and isinstance(_UpperCamelCase    ,  _UpperCamelCase)

          try:
              with open(_UpperCamelCase) as fin, open("""decrypt.out"""    ,  """w+""") as fout:
                  # actual encrypt-process
                  for line in fin:
                      fout.write(self.decrypt_string(_UpperCamelCase    ,  _UpperCamelCase))

          except OSError:
              return False

          return True


# Tests
# crypt = XORCipher()
# key = 67

# # test encrypt
# print(crypt.encrypt("hallo welt",key))
# # test decrypt
# print(crypt.decrypt(crypt.encrypt("hallo welt",key), key))

# # test encrypt_string
# print(crypt.encrypt_string("hallo welt",key))

# # test decrypt_string
# print(crypt.decrypt_string(crypt.encrypt_string("hallo welt",key),key))

# if (crypt.encrypt_file("test.txt",key)):
#       print("encrypt successful")
# else:
#       print("encrypt unsuccessful")

# if (crypt.decrypt_file("encrypt.out",key)):
#       print("decrypt successful")
# else:
#       print("decrypt unsuccessful")




