





"""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      __SCREAMING_SNAKE_CASE    (						_UpperCamelCase   ):







  '''simple docstring'''


  SCREAMING_SNAKE_CASE__							:Tuple	     =					"biogpt"

  def __init__(		self   :       List[Any]					,   __a   :       List[Any]=4_2384					,   __a   :       Optional[Any]=1024					,   __a   :       Dict=24					,   __a   :       List[str]=16					,   __a   :       Any=4096					,   __a   :       Tuple="gelu"					,   __a   :       List[str]=0.1					,   __a   :       Optional[int]=0.1					,   __a   :       Any=1024					,   __a   :       Dict=0.02					,   __a   :       str=1e-1_2					,   __a   :       Optional[int]=True					,   __a   :       Union[str, Any]=True					,   __a   :       Optional[int]=0.0					,   __a   :       Dict=0.0					,   __a   :       List[str]=1					,   __a   :       Dict=0					,   __a   :       Any=2					,   **__a   :       int					,   )		->				Dict:
        _UpperCamelCase      :	Union[str, Any]						=       vocab_size
        _UpperCamelCase      :	Optional[Any]						=       max_position_embeddings
        _UpperCamelCase      :	List[Any]						=       hidden_size
        _UpperCamelCase      :	int						=       num_hidden_layers
        _UpperCamelCase      :	Optional[Any]						=       num_attention_heads
        _UpperCamelCase      :	Optional[int]						=       intermediate_size
        _UpperCamelCase      :	Tuple						=       hidden_act
        _UpperCamelCase      :	Dict						=       hidden_dropout_prob
        _UpperCamelCase      :	Optional[int]						=       attention_probs_dropout_prob
        _UpperCamelCase      :	Tuple						=       initializer_range
        _UpperCamelCase      :	List[Any]						=       layer_norm_eps
        _UpperCamelCase      :	Tuple						=       scale_embedding
        _UpperCamelCase      :	List[str]						=       use_cache
        _UpperCamelCase      :	Any						=       layerdrop
        _UpperCamelCase      :	Optional[Any]						=       activation_dropout
        super().__init__(pad_token_id=__a					,   bos_token_id=__a					,   eos_token_id=__a					,   **__a	)







"""simple docstring"""


def 					lowercase__    (					lowercase_		,lowercase_			)					->		None:




      """simple docstring"""

      _UpperCamelCase      :	List[Any]						=       len(lowercase_			)
      print("The following activities are selected:"			)

      # The first activity is always selected
      _UpperCamelCase      :	List[Any]						=       0
      print(lowercase_		,end=","			)

      # Consider rest of the activities
      for j in range(lowercase_			):
            # If this activity has start time greater than
            # or equal to the finish time of previously
            # selected activity, then select it
            if start[j] >= finish[i]:
                  print(lowercase_		,end=","			)
                  _UpperCamelCase      :	Optional[Any]						=       j


if __name__ == "__main__":
  import doctest

  doctest.testmod()

  lowerCamelCase__				  =   [1, 3, 0, 5, 8, 5]
  lowerCamelCase__				  =   [2, 4, 6, 7, 9, 9]
  print_max_activities(start, finish)
