



A_		:     List[str]        =     {'''a''': ['''c''', '''b'''], '''b''': ['''d''', '''e'''], '''c''': [], '''d''': [], '''e''': []}
A_		:     Optional[Any]        =     ['''a''', '''b''', '''c''', '''d''', '''e''']


def 	UpperCAmelCase__      (      UpperCAmelCase__ :Dict ,					UpperCAmelCase__ :Tuple ,					UpperCAmelCase__ :Union[str, Any]					):






 '''simple docstring'''

 a						=		start
 # add current to visited
 visited.append(UpperCAmelCase__					)
 a						=		edges[current]
 for neighbor in neighbors:
  # if neighbor not in visited, visit
  if neighbor not in visited:
   a						=		topological_sort(UpperCAmelCase__ ,					UpperCAmelCase__ ,					UpperCAmelCase__					)
    # if all neighbors visited add current to sort
 sort.append(UpperCAmelCase__					)
 # if all vertices haven't been visited select a new one to visit
 if len(UpperCAmelCase__					) != len(UpperCAmelCase__					):
  for vertice in vertices:
   if vertice not in visited:
    a						=		topological_sort(UpperCAmelCase__ ,					UpperCAmelCase__ ,					UpperCAmelCase__					)
    # return sort
 return sort


if __name__ == "__main__":
     A_		:     List[Any]        =     topological_sort('''a''', [], [])
     print(sort)






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


A_		:     Any        =     logging.get_logger(__name__)

A_		:     Optional[int]        =     {
    '''SCUT-DLVCLab/lilt-roberta-en-base''': (
        '''https://huggingface.co/SCUT-DLVCLab/lilt-roberta-en-base/resolve/main/config.json'''
    ),
}



class 		_lowercase		(       UpperCAmelCase__	):
   _UpperCAmelCase     	=			'''lilt'''

   def __init__(      self			:       Union[str, Any]							,   __lowerCAmelCase			:       Optional[Any]=3_0522							,   __lowerCAmelCase			:       str=768							,   __lowerCAmelCase			:       Any=12							,   __lowerCAmelCase			:       Optional[Any]=12							,   __lowerCAmelCase			:       List[Any]=3072							,   __lowerCAmelCase			:       Dict="gelu"							,   __lowerCAmelCase			:       int=0.1							,   __lowerCAmelCase			:       Union[str, Any]=0.1							,   __lowerCAmelCase			:       List[str]=512							,   __lowerCAmelCase			:       Optional[int]=2							,   __lowerCAmelCase			:       int=0.0_2							,   __lowerCAmelCase			:       Union[str, Any]=1E-12							,   __lowerCAmelCase			:       Tuple=0							,   __lowerCAmelCase			:       List[Any]="absolute"							,   __lowerCAmelCase			:       int=None							,   __lowerCAmelCase			:       Dict=4							,   __lowerCAmelCase			:       Dict=1024							,   **__lowerCAmelCase			:       Dict							,   )       ->				int:


    """simple docstring"""






    super().__init__(pad_token_id=__lowerCAmelCase							,   **__lowerCAmelCase							)

    a						=		vocab_size
    a						=		hidden_size
    a						=		num_hidden_layers
    a						=		num_attention_heads
    a						=		hidden_act
    a						=		intermediate_size
    a						=		hidden_dropout_prob
    a						=		attention_probs_dropout_prob
    a						=		max_position_embeddings
    a						=		type_vocab_size
    a						=		initializer_range
    a						=		layer_norm_eps
    a						=		position_embedding_type
    a						=		classifier_dropout
    a						=		channel_shrink_ratio
    a						=		max_ad_position_embeddings

