


"""simple docstring"""







import collections
import os
from typing import List, Optional, Tuple

from transformers.utils import is_jieba_available, requires_backends


if is_jieba_available():
 import jieba

from ...tokenization_utils import PreTrainedTokenizer
from ...utils import logging


__lowercase    =				logging.get_logger(__name__)

__lowercase    =				{"""vocab_file""": """vocab.txt"""}

__lowercase    =				{
    """vocab_file""": {
        """openbmb/cpm-ant-10b""": """https://huggingface.co/openbmb/cpm-ant-10b/blob/main/vocab.txt""",
    },
}

__lowercase    =				{
    """openbmb/cpm-ant-10b""": 1024,
}
def 					lowercase      (    A_	)->				Any:
  '''simple docstring'''







  a						:		Union[str, Any]											=      collections.OrderedDict()
  with open(SCREAMING_SNAKE_CASE_  ,       "r"  ,       encoding="utf-8"	) as reader:
    a						:		Optional[int]											=      reader.readlines()
  for index, token in enumerate(SCREAMING_SNAKE_CASE_	):
    a						:		List[Any]											=      token.rstrip("\n"	)
    a						:		str											=      index
  return vocab






class 						_A  (  _a  ):







    """simple docstring"""




    def __init__( self    :   List[str]    ,			__UpperCAmelCase    :   Tuple    ,			__UpperCAmelCase    :   Optional[Any]="<unk>"    ,			__UpperCAmelCase    :   Optional[Any]=200):
      a						:		Dict											=      vocab
      a						:		Dict											=      unk_token
      a						:		Dict											=      max_input_chars_per_word






    def      __snake_case							( self    :   str    ,			__UpperCAmelCase    :   List[Any]):
      a						:		Tuple											=      list(_lowercase)
      if len(_lowercase) > self.max_input_chars_per_word:
        return [self.unk_token]

      a						:		List[str]											=      0
      a						:		Optional[Any]											=      []
      while start < len(_lowercase):
        a						:		List[str]											=      len(_lowercase)
        a						:		Dict											=      None
        while start < end:
          a						:		List[str]											=      "".join(chars[start:end])
          if substr in self.vocab:
            a						:		Union[str, Any]											=      substr
            break
          end -= 1
        if cur_substr is None:
          sub_tokens.append(self.unk_token)
          start += 1
        else:
          sub_tokens.append(_lowercase)
          a						:		Any											=      end

      return sub_tokens






class 						_A  (  _a  ):







    """simple docstring"""




    UpperCAmelCase	:							Optional[Any]     =	VOCAB_FILES_NAMES
    UpperCAmelCase	:							List[str]     =	PRETRAINED_VOCAB_FILES_MAP
    UpperCAmelCase	:							Optional[Any]     =	PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
    UpperCAmelCase	:							Optional[Any]     =	["""input_ids""", """attention_mask"""]
    UpperCAmelCase	:							Optional[Any]     =	False






    def __init__( self    :   Dict    ,			__UpperCAmelCase    :   Any    ,			__UpperCAmelCase    :   Tuple="<d>"    ,			__UpperCAmelCase    :   Dict="</d>"    ,			__UpperCAmelCase    :   int="<s>"    ,			__UpperCAmelCase    :   List[str]="</s>"    ,			__UpperCAmelCase    :   List[Any]="<pad>"    ,			__UpperCAmelCase    :   int="<unk>"    ,			__UpperCAmelCase    :   Optional[Any]="</n>"    ,			__UpperCAmelCase    :   Optional[int]="</_>"    ,			__UpperCAmelCase    :   int="left"    ,			**__UpperCAmelCase    :   Any    ,			):
      requires_backends(self    ,			["jieba"])
      super().__init__(
          bod_token=_lowercase    ,			eod_token=_lowercase    ,			bos_token=_lowercase    ,			eos_token=_lowercase    ,			pad_token=_lowercase    ,			unk_token=_lowercase    ,			line_token=_lowercase    ,			space_token=_lowercase    ,			padding_side=_lowercase    ,			**_lowercase    ,			)
      a						:		Optional[int]											=      bod_token
      a						:		List[Any]											=      eod_token
      a						:		Any											=      load_vocab(_lowercase)
      a						:		List[str]											=      self.encoder[space_token]
      a						:		Optional[int]											=      self.encoder[line_token]

      del self.encoder[space_token]
      del self.encoder[line_token]

      a						:		Union[str, Any]											=      collections.OrderedDict(sorted(self.encoder.items()    ,			key=lambda __UpperCAmelCase: x[1]))
      a						:		str											=      {v: k for k, v in self.encoder.items()}

      a						:		str											=      WordpieceTokenizer(vocab=self.encoder    ,			unk_token=self.unk_token)






    @property
    def      __snake_case							( self    :   Dict):
      return self.encoder[self.bod_token]






    @property
    def      __snake_case							( self    :   Any):
      return self.encoder[self.eod_token]






    @property
    def      __snake_case							( self    :   Any):
      return self.encoder["\n"]






    @property
    def      __snake_case							( self    :   Optional[Any]):
      return len(self.encoder)






    def      __snake_case							( self    :   int):
      return dict(self.encoder    ,			**self.added_tokens_encoder)






    def      __snake_case							( self    :   Optional[int]    ,			__UpperCAmelCase    :   Union[str, Any]):
      a						:		str											=      []
      for x in jieba.cut(_lowercase    ,			cut_all=_lowercase):
        output_tokens.extend(self.wordpiece_tokenizer.tokenize(_lowercase))
      return output_tokens






    def      __snake_case							( self    :   Optional[int]    ,			__UpperCAmelCase    :   str    ,			**__UpperCAmelCase    :   Dict):
      a						:		Optional[Any]											=      [i for i in token_ids if i >= 0]
      a						:		Optional[Any]											=      [
          x for x in token_ids if x != self.pad_token_id and x != self.eos_token_id and x != self.bos_token_id
      ]
      return super()._decode(_lowercase    ,			**_lowercase)






    def      __snake_case							( self    :   List[str]    ,			__UpperCAmelCase    :   int):
      return token in self.encoder






    def      __snake_case							( self    :   Optional[Any]    ,			__UpperCAmelCase    :   Any):
      return "".join(_lowercase)






    def      __snake_case							( self    :   List[Any]    ,			__UpperCAmelCase    :   Dict):
      return self.encoder.get(_lowercase    ,			self.encoder.get(self.unk_token))






    def      __snake_case							( self    :   Dict    ,			__UpperCAmelCase    :   Union[str, Any]):
      return self.decoder.get(_lowercase    ,			self.unk_token)






    def      __snake_case							( self    :   Dict    ,			__UpperCAmelCase    :   Any    ,			__UpperCAmelCase    :   Union[str, Any] = None):
      if os.path.isdir(_lowercase):
        a						:		Optional[int]											=      os.path.join(
            _lowercase    ,			(filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"])
      else:
        a						:		Tuple											=      (filename_prefix + "-" if filename_prefix else "") + save_directory
      a						:		List[Any]											=      0
      if " " in self.encoder:
        a						:		Tuple											=      self.encoder[" "]
        del self.encoder[" "]
      if "\n" in self.encoder:
        a						:		Union[str, Any]											=      self.encoder["\n"]
        del self.encoder["\n"]
      a						:		str											=      collections.OrderedDict(sorted(self.encoder.items()    ,			key=lambda __UpperCAmelCase: x[1]))
      with open(_lowercase    ,			"w"    ,			encoding="utf-8") as writer:
        for token, token_index in self.encoder.items():
          if index != token_index:
            logger.warning(
                f'''Saving vocabulary to {vocab_file}: vocabulary indices are not consecutive.'''
                " Please check that the vocabulary is not corrupted!")
            a						:		int											=      token_index
          writer.write(token + "\n")
          index += 1
      return (vocab_file,)






    def      __snake_case							( self    :   List[str]    ,			__UpperCAmelCase    :   Optional[Any]    ,			__UpperCAmelCase    :   Tuple = None):
      if token_ids_a is None:
        return [self.bos_token_id] + token_ids_a
      return [self.bos_token_id] + token_ids_a + [self.bos_token_id] + token_ids_a






    def      __snake_case							( self    :   List[str]    ,			__UpperCAmelCase    :   Dict    ,			__UpperCAmelCase    :   Dict = None    ,			__UpperCAmelCase    :   Optional[int] = False):

      if already_has_special_tokens:
        return super().get_special_tokens_mask(
            token_ids_a=_lowercase    ,			token_ids_a=_lowercase    ,			already_has_special_tokens=_lowercase)

      if token_ids_a is not None:
        return [1] + ([0] * len(_lowercase)) + [1] + ([0] * len(_lowercase))
      return [1] + ([0] * len(_lowercase))










"""simple docstring"""







def 					lowercase      (    A_  ,       A_	)->				float:
  '''simple docstring'''







  def get_matched_characters(A_  ,       A_	) -> str:
    a						:		Optional[int]											=      []
    a						:		List[Any]											=      min(len(_stra	)  ,       len(_stra	)	) // 2
    for i, l in enumerate(_stra	):
      a						:		int											=      int(max(0  ,       i - limit	)	)
      a						:		Optional[int]											=      int(min(i + limit + 1  ,       len(_stra	)	)	)
      if l in _stra[left:right]:
        matched.append(A_	)
        a						:		int											=      F'''{_stra[0:_stra.index(A_	)]} {_stra[_stra.index(A_	) + 1:]}'''

    return "".join(A_	)

  # matching characters
  a						:		Tuple											=      get_matched_characters(A_  ,       A_	)
  a						:		str											=      get_matched_characters(A_  ,       A_	)
  a						:		List[str]											=      len(A_	)

  # transposition
  a						:		Union[str, Any]											=      (
      len([(ca, ca) for ca, ca in zip(A_  ,       A_	) if ca != ca]	) // 2
  )

  if not match_count:
    a						:		Tuple											=      0.0
  else:
    a						:		List[str]											=      (
        1
        / 3
        * (
            match_count / len(A_	)
            + match_count / len(A_	)
            + (match_count - transpositions) / match_count
        )
    )

  # common prefix up to 4 characters
  a						:		Union[str, Any]											=      0
  for ca, ca in zip(stra[:4]  ,       stra[:4]	):
    if ca == ca:
      prefix_len += 1
    else:
      break

  return jaro + 0.1 * prefix_len * (1 - jaro)


if __name__ == "__main__":
 import doctest

 doctest.testmod()
 print(jaro_winkler("""hello""", """world"""))






