





'''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


A__    :       Union[str, Any]              =logging.get_logger(__name__)

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

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

A__    :       int              ={
    '''gpt-neox-20b''': 20_48,
}




class 			UpperCAmelCase					(      __a       ):
      _lowercase:      Any											=       VOCAB_FILES_NAMES
      _lowercase:      Any											=       PRETRAINED_VOCAB_FILES_MAP
      _lowercase:      Any											=       PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
      _lowercase:      Union[str, Any]											=       ["""input_ids""", """attention_mask"""]




      def __init__(      self      :			Optional[Any]      ,      __snake_case      :			int=None      ,      __snake_case      :			Optional[int]=None      ,      __snake_case      :			Optional[Any]=None      ,      __snake_case      :			Tuple="<|endoftext|>"      ,      __snake_case      :			Optional[Any]="<|endoftext|>"      ,      __snake_case      :			Any="<|endoftext|>"      ,      __snake_case      :			Optional[int]=False      ,      **__snake_case      :			Any      ,      )    ->				int:
            super().__init__(
                a__      ,      a__      ,      tokenizer_file=a__      ,      unk_token=a__      ,      bos_token=a__      ,      eos_token=a__      ,      add_prefix_space=a__      ,      **a__      ,      )

            _lowerCAmelCase												=							json.loads(self.backend_tokenizer.pre_tokenizer.__getstate__()  )
            if pre_tok_state.get("""add_prefix_space"""      ,      a__  ) != add_prefix_space:
                  _lowerCAmelCase												=							getattr(a__      ,      pre_tok_state.pop("""type"""  )  )
                  _lowerCAmelCase												=							add_prefix_space
                  _lowerCAmelCase												=							pre_tok_class(**a__  )

            _lowerCAmelCase												=							add_prefix_space




      def     lowercase__   (      self      :			str      ,      __snake_case      :			str      ,      __snake_case      :			Optional[str] = None  )    ->				Optional[int]:
            _lowerCAmelCase												=							self._tokenizer.model.save(a__      ,      name=a__  )
            return tuple(a__  )




      def     lowercase__   (      self      :			int      ,      __snake_case      :			"Conversation"  )    ->				Tuple:
            _lowerCAmelCase												=							[]
            for is_user, text in conversation.iter_texts():
                  input_ids.extend(self.encode(a__      ,      add_special_tokens=a__  ) + [self.eos_token_id]  )

            if len(a__  ) > self.model_max_length:
                  _lowerCAmelCase												=							input_ids[-self.model_max_length :]
            return input_ids









'''simple docstring'''






def        UpperCamelCase__				(		lowerCAmelCase = 4_00_00_00  ):





      """simple docstring"""


      _lowerCAmelCase												=							[]
      _lowerCAmelCase					,							_lowerCAmelCase												=							0, 1
      while b <= n:
            if b % 2 == 0:
                  even_fibs.append(lowerCAmelCase  )
            _lowerCAmelCase					,							_lowerCAmelCase												=							b, a + b
      return sum(lowerCAmelCase  )


if __name__ == "__main__":
      print(F"""{solution() = }""")






