




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


snake_case    				=		logging.get_logger(__name__)

snake_case    				=		{"""vocab_file""": """vocab.json""", """merges_file""": """merges.txt""", """tokenizer_file""": """tokenizer.json"""}

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

snake_case    				=		{
    """gpt-neox-20b""": 2_048,
}


class  SCREAMING_SNAKE_CASE			(			lowerCAmelCase					):
     '''simple docstring'''


     UpperCamelCase_							:		List[str]			=	VOCAB_FILES_NAMES
     UpperCamelCase_							:		Tuple			=	PRETRAINED_VOCAB_FILES_MAP
     UpperCamelCase_							:		int			=	PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
     UpperCamelCase_							:		str			=	['''input_ids''', '''attention_mask''']


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

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

       SCREAMING_SNAKE_CASE       :      Dict							=    add_prefix_space


     def 				_A       (				self       :	Dict					, UpperCAmelCase_       :	str					, UpperCAmelCase_       :	Optional[str] = None      ):
       SCREAMING_SNAKE_CASE       :      List[Any]							=    self._tokenizer.model.save(UpperCAmelCase_					, name=UpperCAmelCase_      )
       return tuple(UpperCAmelCase_      )






     def 				_A       (				self       :	List[Any]					, UpperCAmelCase_       :	"Conversation"      ):
       SCREAMING_SNAKE_CASE       :      Any							=    []
       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:
         SCREAMING_SNAKE_CASE       :      int							=    input_ids[-self.model_max_length :]
       return input_ids














from __future__ import annotations

from cmath import sqrt


def   lowerCamelCase__			(     lowercase						,     lowercase						,     lowercase				):

  """simple docstring"""






  if a == 0:
    raise ValueError("Coefficient 'a' must not be zero."				)
  SCREAMING_SNAKE_CASE       :      List[str]							=    b * b - 4 * a * c

  SCREAMING_SNAKE_CASE       :      str							=    (-b + sqrt(lowercase				)) / (2 * a)
  SCREAMING_SNAKE_CASE       :      Any							=    (-b - sqrt(lowercase				)) / (2 * a)

  return (
      root_a.real if not root_a.imag else root_a,
      root_a.real if not root_a.imag else root_a,
  )


def   lowerCamelCase__			(     ):

  """simple docstring"""






  SCREAMING_SNAKE_CASE						,  SCREAMING_SNAKE_CASE       :      Dict							=    quadratic_roots(a=5						,     b=6						,     c=1				)
  print(F'''The solutions are: {solutiona} and {solutiona}'''				)


if __name__ == "__main__":
   main()






