
"""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__          = logging.get_logger(__name__)

UpperCAmelCase__          = {'vocab_file': 'vocab.json', 'merges_file': 'merges.txt', 'tokenizer_file': 'tokenizer.json'}

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

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

class       lowerCAmelCase__				(						A_	):
     __a						=					VOCAB_FILES_NAMES
     __a						=					PRETRAINED_VOCAB_FILES_MAP
     __a						=					PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
     __a						=					["""input_ids""", """attention_mask"""]







     def __init__(							self			:			Dict    ,      _lowerCamelCase			:			str=None    ,      _lowerCamelCase			:			List[str]=None    ,      _lowerCamelCase			:			str=None    ,      _lowerCamelCase			:			List[str]="<|endoftext|>"    ,      _lowerCamelCase			:			Optional[Any]="<|endoftext|>"    ,      _lowerCamelCase			:			List[str]="<|endoftext|>"    ,      _lowerCamelCase			:			Dict=False    ,      **_lowerCamelCase			:			Union[str, Any]    ,      ):
       super().__init__(
           _lowerCamelCase    ,      _lowerCamelCase    ,      tokenizer_file=_lowerCamelCase    ,      unk_token=_lowerCamelCase    ,      bos_token=_lowerCamelCase    ,      eos_token=_lowerCamelCase    ,      add_prefix_space=_lowerCamelCase    ,      **_lowerCamelCase    ,      )

       _snake_case					     =       json.loads(self.backend_tokenizer.pre_tokenizer.__getstate__()			)
       if pre_tok_state.get('''add_prefix_space'''    ,      _lowerCamelCase			) != add_prefix_space:
         _snake_case					     =       getattr(_lowerCamelCase    ,      pre_tok_state.pop('''type'''			)			)
         _snake_case					     =       add_prefix_space
         _snake_case					     =       pre_tok_class(**_lowerCamelCase			)

       _snake_case					     =       add_prefix_space







     def      lowercase	(							self			:			Union[str, Any]    ,      _lowerCamelCase			:			str    ,      _lowerCamelCase			:			Optional[str] = None			):
       _snake_case					     =       self._tokenizer.model.save(_lowerCamelCase    ,      name=_lowerCamelCase			)
       return tuple(_lowerCamelCase			)







     def      lowercase	(							self			:			int    ,      _lowerCamelCase			:			"Conversation"			):
       _snake_case					     =       []
       for is_user, text in conversation.iter_texts():
         input_ids.extend(self.encode(_lowerCamelCase    ,      add_special_tokens=_lowerCamelCase			) + [self.eos_token_id]			)

       if len(_lowerCamelCase			) > self.model_max_length:
         _snake_case					     =       input_ids[-self.model_max_length :]
       return input_ids





"""simple docstring"""



def 					_UpperCAmelCase      ( __lowerCamelCase   :       list ,					__lowerCamelCase   :       int = 0		)     ->					list:
  _snake_case					     =       length or len(__lowerCamelCase		)
  _snake_case					     =       False
  for i in range(length - 1		):
    if list_data[i] > list_data[i + 1]:
      _snake_case     ,					_snake_case					     =       list_data[i + 1], list_data[i]
      _snake_case					     =       True

  return list_data if not swapped else bubble_sort(__lowerCamelCase ,					length - 1		)


if __name__ == "__main__":
 import doctest

 doctest.testmod()



