






"""simple docstring"""


import json
from typing import TYPE_CHECKING, List, Optional, Tuple

from tokenizers import pre_tokenizers

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging


if TYPE_CHECKING:
   from transformers.pipelines.conversational import Conversation


_UpperCamelCase    :   Optional[Any]   			=						logging.get_logger(__name__)

_UpperCamelCase    :   Optional[int]   			=						{'vocab_file': 'vocab.json', 'merges_file': 'merges.txt', 'tokenizer_file': 'tokenizer.json'}

_UpperCamelCase    :   Optional[int]   			=						{
    'tokenizer_file': {
        'EleutherAI/gpt-neox-20b': 'https://huggingface.co/EleutherAI/gpt-neox-20b/resolve/main/tokenizer.json',
    },
}

_UpperCamelCase    :   Tuple   			=						{
    'gpt-neox-20b': 2048,
}






class 						snake_case  (  __a	):
    __magic_name__ :    Any   					=					VOCAB_FILES_NAMES
    __magic_name__ :    Any   					=					PRETRAINED_VOCAB_FILES_MAP
    __magic_name__ :    List[str]   					=					PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
    __magic_name__ :    Optional[int]   					=					['''input_ids''', '''attention_mask''']





    def __init__(							self     : Optional[Any]    ,		A     : str=None    ,		A     : Optional[int]=None    ,		A     : Tuple=None    ,		A     : Optional[int]="<|endoftext|>"    ,		A     : Optional[int]="<|endoftext|>"    ,		A     : Optional[int]="<|endoftext|>"    ,		A     : Optional[int]=False    ,		**A     : str    ,		):


      '''simple docstring'''




      super().__init__(
          UpperCamelCase__    ,		UpperCamelCase__    ,		tokenizer_file=UpperCamelCase__    ,		unk_token=UpperCamelCase__    ,		bos_token=UpperCamelCase__    ,		eos_token=UpperCamelCase__    ,		add_prefix_space=UpperCamelCase__    ,		**UpperCamelCase__    ,		)

      a					:      Optional[Any]    =       json.loads(self.backend_tokenizer.pre_tokenizer.__getstate__()      )
      if pre_tok_state.get('add_prefix_space'    ,		UpperCamelCase__      ) != add_prefix_space:
        a					:      Optional[int]    =       getattr(UpperCamelCase__    ,		pre_tok_state.pop('type'      )      )
        a					:      Optional[int]    =       add_prefix_space
        a					:      Any    =       pre_tok_class(**UpperCamelCase__      )

      a					:      Optional[int]    =       add_prefix_space





    def     lowerCamelCase__				(							self     : List[str]    ,		A     : str    ,		A     : Optional[str] = None      ):


      '''simple docstring'''




      a					:      Union[str, Any]    =       self._tokenizer.model.save(UpperCamelCase__    ,		name=UpperCamelCase__      )
      return tuple(UpperCamelCase__      )





    def     lowerCamelCase__				(							self     : int    ,		A     : "Conversation"      ):


      '''simple docstring'''




      a					:      Tuple    =       []
      for is_user, text in conversation.iter_texts():
        input_ids.extend(self.encode(UpperCamelCase__    ,		add_special_tokens=UpperCamelCase__      ) + [self.eos_token_id]      )

      if len(UpperCamelCase__      ) > self.model_max_length:
        a					:      List[str]    =       input_ids[-self.model_max_length :]
      return input_ids












"""simple docstring"""


def       snake_case  (A_				:str     ,      A_				:bool = False				):







  '''simple docstring'''

  if not isinstance(A_     ,      A_				):
    a					:      Union[str, Any]    =       f'''Expected string as input, found {type(A_				)}'''
    raise ValueError(A_				)
  if not isinstance(A_     ,      A_				):
    a					:      Optional[int]    =       f'''Expected boolean as use_pascal parameter, found {type(A_				)}'''
    raise ValueError(A_				)

  a					:      Tuple    =       input_str.split('_'				)

  a					:      Dict    =       0 if use_pascal else 1

  a					:      int    =       words[start_index:]

  a					:      int    =       [word[0].upper() + word[1:] for word in words_to_capitalize]

  a					:      List[str]    =       '' if use_pascal else words[0]

  return "".join([initial_word, *capitalized_words]				)


if __name__ == "__main__":
   from doctest import testmod

   testmod()




