





'''simple docstring'''

from collections import deque







def  a__    (    lowercase :					Optional[Any]				)		->		Any:





     """simple docstring"""

     _UpperCamelCase       =	len(lowercase				)
     _UpperCamelCase       =	deque()
     _UpperCamelCase       =	[False for _ in range(lowercase				)]
     _UpperCamelCase       =	[-1 for _ in range(lowercase				)]
     _UpperCamelCase       =	index_of[:]

     def strong_connect(lowercase :					int, lowercase :					Any, lowercase :					Union[str, Any]				):
          _UpperCamelCase       =	index  # the number when this node is seen
          _UpperCamelCase       =	index  # lowest rank node reachable from here
          index += 1
          stack.append(lowercase				)
          _UpperCamelCase       =	True

          for w in g[v]:
               if index_of[w] == -1:
                    _UpperCamelCase       =	strong_connect(lowercase, lowercase, lowercase				)
                    _UpperCamelCase       =	(
                        lowlink_of[w] if lowlink_of[w] < lowlink_of[v] else lowlink_of[v]
                    )
               elif on_stack[w]:
                    _UpperCamelCase       =	(
                        lowlink_of[w] if lowlink_of[w] < lowlink_of[v] else lowlink_of[v]
                    )

          if lowlink_of[v] == index_of[v]:
               _UpperCamelCase       =	[]
               _UpperCamelCase       =	stack.pop()
               _UpperCamelCase       =	False
               component.append(lowercase				)
               while w != v:
                    _UpperCamelCase       =	stack.pop()
                    _UpperCamelCase       =	False
                    component.append(lowercase				)
               components.append(lowercase				)
          return index

     _UpperCamelCase       =	[]
     for v in range(lowercase				):
          if index_of[v] == -1:
               strong_connect(lowercase, 0, lowercase				)

     return components







def  a__    (    lowercase :					List[Any], lowercase :					Optional[Any]				)		->		Any:





     """simple docstring"""

     _UpperCamelCase       =	[[] for _ in range(lowercase				)]
     for u, v in edges:
          g[u].append(lowercase				)
     return g


if __name__ == "__main__":
   # Test
   lowercase__						:      Optional[int]	=    7
   lowercase__						:      Optional[int]	=    [0, 0, 1, 2, 3, 3, 4, 4, 6]
   lowercase__						:      int	=    [1, 3, 2, 0, 1, 4, 5, 6, 5]
   lowercase__						:      Tuple	=    [(u, v) for u, v in zip(source, target)]
   lowercase__						:      List[Any]	=    create_graph(n_vertices, edges)

   assert [[5], [6], [4], [3, 2, 1, 0]] == tarjan(g)










'''simple docstring'''

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


lowercase__						:      Optional[Any]	=    logging.get_logger(__name__)

lowercase__						:      List[Any]	=    {
    'microsoft/biogpt': 'https://huggingface.co/microsoft/biogpt/resolve/main/config.json',
    # See all BioGPT models at https://huggingface.co/models?filter=biogpt
}
class     __lowerCAmelCase					(   __magic_name__			):






       """simple docstring"""
       _snake_case     :					Union[str, Any]						    =   'biogpt'





       def __init__(							self       :		Optional[Any]	,			lowerCAmelCase__       :		List[str]=42384	,			lowerCAmelCase__       :		Optional[int]=1024	,			lowerCAmelCase__       :		List[str]=24	,			lowerCAmelCase__       :		List[Any]=16	,			lowerCAmelCase__       :		Optional[int]=4096	,			lowerCAmelCase__       :		Optional[int]="gelu"	,			lowerCAmelCase__       :		Optional[Any]=0.1	,			lowerCAmelCase__       :		Optional[int]=0.1	,			lowerCAmelCase__       :		Union[str, Any]=1024	,			lowerCAmelCase__       :		List[str]=0.02	,			lowerCAmelCase__       :		Tuple=1e-1_2	,			lowerCAmelCase__       :		Dict=True	,			lowerCAmelCase__       :		Tuple=True	,			lowerCAmelCase__       :		Dict=0.0	,			lowerCAmelCase__       :		Union[str, Any]=0.0	,			lowerCAmelCase__       :		Optional[int]=1	,			lowerCAmelCase__       :		Union[str, Any]=0	,			lowerCAmelCase__       :		Optional[Any]=2	,			**lowerCAmelCase__       :		Optional[Any]	,			)   ->					Tuple:

            '''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__					)



