




'''simple docstring'''



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


lowerCamelCase_			=						logging.get_logger(__name__)

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







class 		lowercase_   (			A       ):


   """simple docstring"""

   lowerCamelCase_      =						'''biogpt'''



   def __init__(   self :     Tuple  ,				__lowerCamelCase :     List[str]=4_2_3_8_4  ,				__lowerCamelCase :     Optional[int]=1_0_2_4  ,				__lowerCamelCase :     List[str]=2_4  ,				__lowerCamelCase :     int=1_6  ,				__lowerCamelCase :     List[Any]=4_0_9_6  ,				__lowerCamelCase :     int="gelu"  ,				__lowerCamelCase :     str=0.1  ,				__lowerCamelCase :     Tuple=0.1  ,				__lowerCamelCase :     Any=1_0_2_4  ,				__lowerCamelCase :     Tuple=0.0_2  ,				__lowerCamelCase :     Optional[int]=1e-12  ,				__lowerCamelCase :     List[Any]=True  ,				__lowerCamelCase :     str=True  ,				__lowerCamelCase :     Any=0.0  ,				__lowerCamelCase :     Any=0.0  ,				__lowerCamelCase :     Optional[Any]=1  ,				__lowerCamelCase :     Union[str, Any]=0  ,				__lowerCamelCase :     str=2  ,				**__lowerCamelCase :     Dict  ,				):

      """simple docstring"""
      _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	=				hidden_dropout_prob
      _SCREAMING_SNAKE_CASE	=				attention_probs_dropout_prob
      _SCREAMING_SNAKE_CASE	=				initializer_range
      _SCREAMING_SNAKE_CASE	=				layer_norm_eps
      _SCREAMING_SNAKE_CASE	=				scale_embedding
      _SCREAMING_SNAKE_CASE	=				use_cache
      _SCREAMING_SNAKE_CASE	=				layerdrop
      _SCREAMING_SNAKE_CASE	=				activation_dropout
      super().__init__(pad_token_id=__lowerCamelCase  ,				bos_token_id=__lowerCamelCase  ,				eos_token_id=__lowerCamelCase  ,				**__lowerCamelCase   )







'''simple docstring'''



from collections.abc import Sequence
def 			SCREAMING_SNAKE_CASE_			(							__A    :			Sequence[int] | None = None  )			->			int:
   if nums is None or not nums:
      raise ValueError("Input sequence should not be empty"  )

   _SCREAMING_SNAKE_CASE	=				nums[0]
   for i in range(1	,					len(__A  )  ):
      _SCREAMING_SNAKE_CASE	=				nums[i]
      _SCREAMING_SNAKE_CASE	=				max(__A	,					ans + num	,					__A  )

   return ans


if __name__ == "__main__":
 import doctest

 doctest.testmod()

 # Try on a sample input from the user
 lowerCamelCase_			=						int(input('Enter number of elements : ').strip())
 lowerCamelCase_			=						list(map(int, input('\nEnter the numbers : ').strip().split()))[:n]
 print(max_subsequence_sum(array))

