

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


SCREAMING_SNAKE_CASE_            = logging.get_logger(__name__)

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

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

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

class 			a					(		UpperCAmelCase			):
						_lowercase        =     VOCAB_FILES_NAMES
						_lowercase        =     PRETRAINED_VOCAB_FILES_MAP
						_lowercase        =     PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
						_lowercase        =     ["input_ids", "attention_mask"]


						def __init__(    self  ,   A_=None  ,   A_=None  ,   A_=None  ,   A_="<|endoftext|>"  ,   A_="<|endoftext|>"  ,   A_="<|endoftext|>"  ,   A_=False  ,   **A_  ,   ):







										'''simple docstring'''


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

										_UpperCAmelCase    :						Any							=      json.loads(self.backend_tokenizer.pre_tokenizer.__getstate__()		)
										if pre_tok_state.get("add_prefix_space"  ,   A_		) != add_prefix_space:
														_UpperCAmelCase    :						Optional[Any]							=      getattr(A_  ,   pre_tok_state.pop("type"		)		)
														_UpperCAmelCase    :						List[Any]							=      add_prefix_space
														_UpperCAmelCase    :						List[Any]							=      pre_tok_class(**A_		)

										_UpperCAmelCase    :						Optional[Any]							=      add_prefix_space


						def     _UpperCAmelCase			(    self  ,   A_  ,   A_ = None		):







										'''simple docstring'''


										_UpperCAmelCase    :						Tuple							=      self._tokenizer.model.save(A_  ,   name=A_		)
										return tuple(A_		)





						def     _UpperCAmelCase			(    self  ,   A_		):







										'''simple docstring'''


										_UpperCAmelCase    :						Union[str, Any]							=      []
										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:
														_UpperCAmelCase    :						List[Any]							=      input_ids[-self.model_max_length :]
										return input_ids





def 							__SCREAMING_SNAKE_CASE							(			lowerCAmelCase:					int	)				->    int:
				if not isinstance(lowerCAmelCase					, lowerCAmelCase	):
								raise TypeError("Input value must be an 'int' type"	)

				_UpperCAmelCase    :						List[Any]							=      0
				while number:
								position += 1
								number >>= 1

				return position


if __name__ == "__main__":
					import doctest

					doctest.testmod()


