from ...configuration_utils import PretrainedConfig
from ...utils import logging


A     :  Optional[int]					     =       logging.get_logger(__name__)

A     :  List[Any]					     =       {
    "EleutherAI/gpt-neox-20b": "https://huggingface.co/EleutherAI/gpt-neox-20b/resolve/main/config.json",
    # See all GPTNeoX models at https://huggingface.co/models?filter=gpt_neox
}


class   lowerCamelCase					(SCREAMING_SNAKE_CASE__					):
  """simple docstring"""







  lowerCamelCase__     =						'''gpt_neox'''







  def __init__(							self :       Optional[int]  ,     __magic_name__ :       Union[str, Any]=50_432  ,     __magic_name__ :       Any=6_144  ,     __magic_name__ :       Tuple=44  ,     __magic_name__ :       Union[str, Any]=64  ,     __magic_name__ :       Dict=24_576  ,     __magic_name__ :       Optional[Any]="gelu"  ,     __magic_name__ :       Dict=0.25  ,     __magic_name__ :       Any=10_000  ,     __magic_name__ :       int=0.0  ,     __magic_name__ :       Optional[Any]=0.0  ,     __magic_name__ :       Optional[int]=0.1  ,     __magic_name__ :       List[str]=2_048  ,     __magic_name__ :       Any=0.02  ,     __magic_name__ :       Tuple=1e-5  ,     __magic_name__ :       List[str]=True  ,     __magic_name__ :       Tuple=0  ,     __magic_name__ :       str=2  ,     __magic_name__ :       Union[str, Any]=False  ,     __magic_name__ :       int=True  ,     __magic_name__ :       str=None  ,     **__magic_name__ :       Optional[int]  ,     )  ->	Union[str, Any]:
        super().__init__(bos_token_id=__magic_name__  ,     eos_token_id=__magic_name__  ,     **__magic_name__   )
        SCREAMING_SNAKE_CASE_          =  vocab_size
        SCREAMING_SNAKE_CASE_          =  max_position_embeddings
        SCREAMING_SNAKE_CASE_          =  hidden_size
        SCREAMING_SNAKE_CASE_          =  num_hidden_layers
        SCREAMING_SNAKE_CASE_          =  num_attention_heads
        SCREAMING_SNAKE_CASE_          =  intermediate_size
        SCREAMING_SNAKE_CASE_          =  hidden_act
        SCREAMING_SNAKE_CASE_          =  rotary_pct
        SCREAMING_SNAKE_CASE_          =  rotary_emb_base
        SCREAMING_SNAKE_CASE_          =  attention_dropout
        SCREAMING_SNAKE_CASE_          =  hidden_dropout
        SCREAMING_SNAKE_CASE_          =  classifier_dropout
        SCREAMING_SNAKE_CASE_          =  initializer_range
        SCREAMING_SNAKE_CASE_          =  layer_norm_eps
        SCREAMING_SNAKE_CASE_          =  use_cache
        SCREAMING_SNAKE_CASE_          =  tie_word_embeddings
        SCREAMING_SNAKE_CASE_          =  use_parallel_residual
        SCREAMING_SNAKE_CASE_          =  rope_scaling
        self._rope_scaling_validation()

        if self.hidden_size % self.num_attention_heads != 0:
              raise ValueError(
                  "The hidden size is not divisble by the number of attention heads! Make sure to update them!"   )







  def    __A     (							self :       List[str]   )  ->	Dict:
        if self.rope_scaling is None:
              return

        if not isinstance(self.rope_scaling  ,     __magic_name__   ) or len(self.rope_scaling   ) != 2:
              raise ValueError(
                  "`rope_scaling` must be a dictionary with with two fields, `name` and `factor`, "
                  F'''got {self.rope_scaling}'''   )
        SCREAMING_SNAKE_CASE_          =  self.rope_scaling.get("type"  ,     __magic_name__   )
        SCREAMING_SNAKE_CASE_          =  self.rope_scaling.get("factor"  ,     __magic_name__   )
        if rope_scaling_type is None or rope_scaling_type not in ["linear", "dynamic"]:
              raise ValueError(
                  F'''`rope_scaling`\'s name field must be one of [\'linear\', \'dynamic\'], got {rope_scaling_type}'''   )
        if rope_scaling_factor is None or not isinstance(__magic_name__  ,     __magic_name__   ) or rope_scaling_factor <= 1.0:
              raise ValueError(F'''`rope_scaling`\'s factor field must be an float > 1, got {rope_scaling_factor}'''   )



from collections.abc import Callable


def      a__ (		__UpperCamelCase     ,      __UpperCamelCase     ,      __UpperCamelCase				):
      SCREAMING_SNAKE_CASE_          =  a
      SCREAMING_SNAKE_CASE_          =  b
      if function(__UpperCamelCase				) == 0:  # one of the a or b is a root for the function
            return a
      elif function(__UpperCamelCase				) == 0:
            return b
      elif (
          function(__UpperCamelCase				) * function(__UpperCamelCase				) > 0
      ):  # if none of these are root and they are both positive or negative,
            # then this algorithm can't find the root
            raise ValueError("could not find root in given interval."				)
      else:
            SCREAMING_SNAKE_CASE_          =  start + (end - start) / 2.0
            while abs(start - mid				) > 1_0**-7:  # until precisely equals to 10^-7
                  if function(__UpperCamelCase				) == 0:
                        return mid
                  elif function(__UpperCamelCase				) * function(__UpperCamelCase				) < 0:
                        SCREAMING_SNAKE_CASE_          =  mid
                  else:
                        SCREAMING_SNAKE_CASE_          =  mid
                  SCREAMING_SNAKE_CASE_          =  start + (end - start) / 2.0
            return mid


def      a__ (		__UpperCamelCase				):
      return x**3 - 2 * x - 5


if __name__ == "__main__":
      print(bisection(f, 1, 10_00))

      import doctest

      doctest.testmod()


