
'''simple docstring'''


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


snake_case_ :  List[Any]     =					logging.get_logger(__name__)

snake_case_ :  Optional[Any]     =					{
    'microsoft/biogpt': 'https://huggingface.co/microsoft/biogpt/resolve/main/config.json',
    # See all BioGPT models at https://huggingface.co/models?filter=biogpt
}


class 						lowercase__	(  snake_case_   ):






   '''simple docstring'''







   _snake_case		   =							'''biogpt'''







   def __init__(			self ,   lowerCamelCase__=4_2_3_8_4 ,   lowerCamelCase__=1_0_2_4 ,   lowerCamelCase__=2_4 ,   lowerCamelCase__=1_6 ,   lowerCamelCase__=4_0_9_6 ,   lowerCamelCase__="gelu" ,   lowerCamelCase__=0.1 ,   lowerCamelCase__=0.1 ,   lowerCamelCase__=1_0_2_4 ,   lowerCamelCase__=0.02 ,   lowerCamelCase__=1e-1_2 ,   lowerCamelCase__=True ,   lowerCamelCase__=True ,   lowerCamelCase__=0.0 ,   lowerCamelCase__=0.0 ,   lowerCamelCase__=1 ,   lowerCamelCase__=0 ,   lowerCamelCase__=2 ,   **lowerCamelCase__ ,   ):

      '''simple docstring'''







      UpperCamelCase       =  vocab_size
      UpperCamelCase       =  max_position_embeddings
      UpperCamelCase       =  hidden_size
      UpperCamelCase       =  num_hidden_layers
      UpperCamelCase       =  num_attention_heads
      UpperCamelCase       =  intermediate_size
      UpperCamelCase       =  hidden_act
      UpperCamelCase       =  hidden_dropout_prob
      UpperCamelCase       =  attention_probs_dropout_prob
      UpperCamelCase       =  initializer_range
      UpperCamelCase       =  layer_norm_eps
      UpperCamelCase       =  scale_embedding
      UpperCamelCase       =  use_cache
      UpperCamelCase       =  layerdrop
      UpperCamelCase       =  activation_dropout
      super().__init__(pad_token_id=lowerCamelCase__ ,   bos_token_id=lowerCamelCase__ ,   eos_token_id=lowerCamelCase__ ,   **lowerCamelCase__   )







'''simple docstring'''


from __future__ import annotations



def  __snake_case     (    _UpperCAmelCase					:       list[int]):
   UpperCamelCase       =  len(_UpperCAmelCase) // 2

   # choose the middle 3 elements
   UpperCamelCase       =  lst[m - 1 : m + 2]

   # if middle element is peak
   if three[1] > three[0] and three[1] > three[2]:
      return three[1]

   # if increasing, recurse on right
   elif three[0] < three[2]:
      if len(lst[:m]) == 2:
         m -= 1
      return peak(lst[m:])

   # decreasing
   else:
      if len(lst[:m]) == 2:
         m += 1
      return peak(lst[:m])


if __name__ == "__main__":
   import doctest

   doctest.testmod()





