




import os
from shutil import copyfile
from typing import List, Optional, Tuple

from ...tokenization_utils_fast import AddedToken, PreTrainedTokenizerFast
from ...utils import logging


__A    	=			logging.get_logger(__name__)

__A    	=			{"vocab_file": "spiece.model", "tokenizer_file": "tokenizer.json"}

__A    	=			{
    "vocab_file": {
        "TsinghuaAI/CPM-Generate": "https://huggingface.co/TsinghuaAI/CPM-Generate/resolve/main/spiece.model",
    },
    "tokenizer_file": {
        "TsinghuaAI/CPM-Generate": "https://huggingface.co/TsinghuaAI/CPM-Generate/resolve/main/tokenizer.json",
    },
}



class 						lowercase_					(						UpperCamelCase_  ):



      def __init__(    self   :       List[str]    ,      A__   :       Dict=None    ,      A__   :       Any=None    ,      A__   :       Optional[Any]=False    ,      A__   :       Optional[Any]=True    ,      A__   :       Optional[int]=False    ,      A__   :       Optional[int]="<s>"    ,      A__   :       Optional[Any]="</s>"    ,      A__   :       Optional[int]="<unk>"    ,      A__   :       Union[str, Any]="<sep>"    ,      A__   :       List[str]="<pad>"    ,      A__   :       str="<cls>"    ,      A__   :       List[Any]="<mask>"    ,      A__   :       Tuple=["<eop>", "<eod>"]    ,      **A__   :       Union[str, Any]    ,      )					->  List[Any]:
        _snake_case		=							AddedToken(__UpperCamelCase    ,      lstrip=__UpperCamelCase    ,      rstrip=__UpperCamelCase	) if isinstance(__UpperCamelCase    ,      __UpperCamelCase	) else mask_token

        super().__init__(
            vocab_file=__UpperCamelCase    ,      tokenizer_file=__UpperCamelCase    ,      do_lower_case=__UpperCamelCase    ,      remove_space=__UpperCamelCase    ,      keep_accents=__UpperCamelCase    ,      bos_token=__UpperCamelCase    ,      eos_token=__UpperCamelCase    ,      unk_token=__UpperCamelCase    ,      sep_token=__UpperCamelCase    ,      pad_token=__UpperCamelCase    ,      cls_token=__UpperCamelCase    ,      mask_token=__UpperCamelCase    ,      additional_special_tokens=__UpperCamelCase    ,      **__UpperCamelCase    ,      )

        _snake_case		=							3
        _snake_case		=							do_lower_case
        _snake_case		=							remove_space
        _snake_case		=							keep_accents
        _snake_case		=							vocab_file
        _snake_case		=							False if not self.vocab_file else True

        try:
          import jieba
        except ModuleNotFoundError as error:
          raise error.__class__(
              '''You need to install jieba to use CpmTokenizer or CpmTokenizerFast. '''
              '''See https://pypi.org/project/jieba/ for installation.'''	)
        _snake_case		=							jieba
        _snake_case		=							str.maketrans(''' \n'''    ,      '''\u2582\u2583'''	)



      def 		UpperCamelCase_	(    self   :       str    ,      A__   :       Dict    ,      A__   :       Union[str, Any] = None	)					->  List[int]:
        _snake_case		=							[self.sep_token_id]
        _snake_case		=							[self.cls_token_id]
        if token_ids_a is None:
          return token_ids_a + sep + cls
        return token_ids_a + sep + token_ids_a + sep + cls



      def 		UpperCamelCase_	(    self   :       Any    ,      A__   :       Optional[int]    ,      A__   :       Any = None	)					->  List[int]:
        _snake_case		=							[self.sep_token_id]
        _snake_case		=							[2]

        if token_ids_a is None:
          return len(token_ids_a + sep	) * [0] + cls_segment_id
        return len(token_ids_a + sep	) * [0] + len(token_ids_a + sep	) * [1] + cls_segment_id



      def 		UpperCamelCase_	(    self   :       Dict    ,      A__   :       Optional[Any]    ,      A__   :       str = None	)					->  Tuple[str]:


        if not self.can_save_slow_tokenizer:
          raise ValueError(
              '''Your fast tokenizer does not have the necessary information to save the vocabulary for a slow '''
              '''tokenizer.'''	)

        if not os.path.isdir(__UpperCamelCase	):
          logger.error(f"""Vocabulary path ({save_directory}) should be a directory"""	)
          return
        _snake_case		=							os.path.join(
            __UpperCamelCase    ,      (filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file''']	)

        if os.path.abspath(self.vocab_file	) != os.path.abspath(__UpperCamelCase	):
          copyfile(self.vocab_file    ,      __UpperCamelCase	)

        return (out_vocab_file,)



      def 		UpperCamelCase_	(    self   :       str    ,      A__   :       Optional[int]    ,      *A__   :       Optional[Any]    ,      **A__   :       Optional[int]	)					->  List[str]:
        _snake_case		=							[
            ''' '''.join([x.translate(self.translator	) for x in self.jieba.cut(__UpperCamelCase    ,      cut_all=__UpperCamelCase	)]	)
            for text in batch_text_or_text_pairs
        ]
        return super()._batch_encode_plus(__UpperCamelCase    ,      *__UpperCamelCase    ,      **__UpperCamelCase	)







      def 		UpperCamelCase_	(    self   :       List[Any]    ,      *A__   :       Optional[int]    ,      **A__   :       Optional[Any]	)					->  List[str]:
        _snake_case		=							super()._decode(*__UpperCamelCase    ,      **__UpperCamelCase	)
        _snake_case		=							text.replace(''' '''    ,      ''''''	).replace('''\u2582'''    ,      ''' '''	).replace('''\u2583'''    ,      '''\n'''	)
        return text




import numpy as np



def    snake_case_(_UpperCamelCase  )							->			Any:



  """simple docstring"""






  _snake_case		=							np.exp(_UpperCamelCase  )

  # Add up the all the exponentials
  _snake_case		=							np.sum(_UpperCamelCase  )

  # Divide every exponent by the sum of all exponents
  _snake_case		=							exponent_vector / sum_of_exponents

  return softmax_vector


if __name__ == "__main__":
 print(softmax((0,)))

