






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


__lowerCamelCase	:		Dict										=   logging.get_logger(__name__)

__lowerCamelCase	:		Dict										=   {"""vocab_file""": """vocab.txt"""}

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

__lowerCamelCase	:		Optional[int]										=   {
    """openbmb/cpm-ant-10b""": 10_24,
}







def 			A__							(      _a  :					int	):





 '''simple docstring'''







 snake_case__  :    Any							       =collections.OrderedDict()
 with open(_a		,  """r"""		,  encoding="""utf-8"""	) as reader:
  snake_case__  :    str							       =reader.readlines()
 for index, token in enumerate(_a	):
  snake_case__  :    Dict							       =token.rstrip("""\n"""	)
  snake_case__  :    Dict							       =index
 return vocab







class  _lowercase   (   _A						):
      def __init__(     self				,			a				,			a="<unk>"				,			a=2_0_0   ):
       snake_case__  :    Any							       =vocab
       snake_case__  :    List[str]							       =unk_token
       snake_case__  :    int							       =max_input_chars_per_word



      def 						lowercase__					(     self				,			a   ):
       snake_case__  :    int							       =list(a   )
       if len(a   ) > self.max_input_chars_per_word:
        return [self.unk_token]

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

       return sub_tokens







class  _lowercase   (   _A						):
      _a							:						List[str]										=							VOCAB_FILES_NAMES
      _a							:						Any										=							PRETRAINED_VOCAB_FILES_MAP
      _a							:						List[Any]										=							PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
      _a							:						List[str]										=							['input_ids', 'attention_mask']
      _a							:						List[Any]										=							False
      def __init__(     self				,			a				,			a="<d>"				,			a="</d>"				,			a="<s>"				,			a="</s>"				,			a="<pad>"				,			a="<unk>"				,			a="</n>"				,			a="</_>"				,			a="left"				,			**a				,			):
       requires_backends(self				,			["""jieba"""]   )
       super().__init__(
           bod_token=a				,			eod_token=a				,			bos_token=a				,			eos_token=a				,			pad_token=a				,			unk_token=a				,			line_token=a				,			space_token=a				,			padding_side=a				,			**a				,			)
       snake_case__  :    int							       =bod_token
       snake_case__  :    Union[str, Any]							       =eod_token
       snake_case__  :    Tuple							       =load_vocab(a   )
       snake_case__  :    Union[str, Any]							       =self.encoder[space_token]
       snake_case__  :    Optional[Any]							       =self.encoder[line_token]

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

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

       snake_case__  :    Dict							       =WordpieceTokenizer(vocab=self.encoder				,			unk_token=self.unk_token   )
      @property
      def 						lowercase__					(     self   ):
       return self.encoder[self.bod_token]
      @property
      def 						lowercase__					(     self   ):
       return self.encoder[self.eod_token]
      @property
      def 						lowercase__					(     self   ):
       return self.encoder["\n"]
      @property
      def 						lowercase__					(     self   ):
       return len(self.encoder   )
      def 						lowercase__					(     self   ):
       return dict(self.encoder				,			**self.added_tokens_encoder   )
      def 						lowercase__					(     self				,			a   ):
       snake_case__  :    Dict							       =[]
       for x in jieba.cut(a				,			cut_all=a   ):
        output_tokens.extend(self.wordpiece_tokenizer.tokenize(a   )   )
       return output_tokens
      def 						lowercase__					(     self				,			a				,			**a   ):
       snake_case__  :    Any							       =[i for i in token_ids if i >= 0]
       snake_case__  :    int							       =[
           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(a				,			**a   )
      def 						lowercase__					(     self				,			a   ):
       return token in self.encoder
      def 						lowercase__					(     self				,			a   ):
       return "".join(a   )
      def 						lowercase__					(     self				,			a   ):
       return self.encoder.get(a				,			self.encoder.get(self.unk_token   )   )
      def 						lowercase__					(     self				,			a   ):
       return self.decoder.get(a				,			self.unk_token   )
      def 						lowercase__					(     self				,			a				,			a = None   ):
       if os.path.isdir(a   ):
        snake_case__  :    Union[str, Any]							       =os.path.join(
            a				,			(filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""vocab_file"""]   )
       else:
        snake_case__  :    Dict							       =(filename_prefix + """-""" if filename_prefix else """""") + save_directory
       snake_case__  :    Any							       =0
       if " " in self.encoder:
        snake_case__  :    int							       =self.encoder[""" """]
        del self.encoder[" "]
       if "\n" in self.encoder:
        snake_case__  :    Tuple							       =self.encoder["""\n"""]
        del self.encoder["\n"]
       snake_case__  :    Optional[int]							       =collections.OrderedDict(sorted(self.encoder.items()				,			key=lambda a   : x[1]   )   )
       with open(a				,			"""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!"""   )
          snake_case__  :    str							       =token_index
         writer.write(token + """\n"""   )
         index += 1
       return (vocab_file,)
      def 						lowercase__					(     self				,			a				,			a = 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 						lowercase__					(     self				,			a				,			a = None				,			a = False   ):

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

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













def 			A__							(      _a  :					Optional[Any]		,  _a  :					Tuple		,  _a  :					List[str]=False	):





 '''simple docstring'''







 if isinstance(_a		,  _a	) and isinstance(_a		,  _a	):
  snake_case__  :    int							       =len(set_a.intersection(_a	)	)

  if alternative_union:
   snake_case__  :    int							       =len(_a	) + len(_a	)
  else:
   snake_case__  :    Tuple							       =len(set_a.union(_a	)	)

  return intersection / union

 if isinstance(_a		,  (list, tuple)	) and isinstance(_a		,  (list, tuple)	):
  snake_case__  :    Optional[int]							       =[element for element in set_a if element in set_b]

  if alternative_union:
   snake_case__  :    Optional[Any]							       =len(_a	) + len(_a	)
   return len(_a	) / union
  else:
   snake_case__  :    Dict							       =set_a + [element for element in set_b if element not in set_a]
   return len(_a	) / len(_a	)

  return len(_a	) / len(_a	)
 return None


if __name__ == "__main__":
       __lowerCamelCase	:		List[Any]										=   {"""a""", """b""", """c""", """d""", """e"""}
       __lowerCamelCase	:		Optional[int]										=   {"""c""", """d""", """e""", """f""", """h""", """i"""}
       print(jaccard_similarity(set_a, set_b))





