






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


snake_case    				=		logging.get_logger(__name__)

snake_case    				=		{
    # See all MEGATRON_BERT models at https://huggingface.co/models?filter=bert
}


class  SCREAMING_SNAKE_CASE			(			lowerCAmelCase					):
     '''simple docstring'''


     UpperCamelCase_							:		Optional[Any]			=	'''megatron-bert'''


     def __init__(				self       :	Union[str, Any]					, UpperCAmelCase_       :	List[str]=2_9056					, UpperCAmelCase_       :	Tuple=1024					, UpperCAmelCase_       :	Union[str, Any]=24					, UpperCAmelCase_       :	str=16					, UpperCAmelCase_       :	Dict=4096					, UpperCAmelCase_       :	Optional[int]="gelu"					, UpperCAmelCase_       :	int=0.1					, UpperCAmelCase_       :	Optional[Any]=0.1					, UpperCAmelCase_       :	Tuple=512					, UpperCAmelCase_       :	Any=2					, UpperCAmelCase_       :	Dict=0.02					, UpperCAmelCase_       :	int=1E-12					, UpperCAmelCase_       :	List[Any]=0					, UpperCAmelCase_       :	Any="absolute"					, UpperCAmelCase_       :	List[Any]=True					, **UpperCAmelCase_       :	str					, ):
       super().__init__(pad_token_id=UpperCAmelCase_					, **UpperCAmelCase_      )

       SCREAMING_SNAKE_CASE       :      int							=    vocab_size
       SCREAMING_SNAKE_CASE       :      List[Any]							=    hidden_size
       SCREAMING_SNAKE_CASE       :      Optional[Any]							=    num_hidden_layers
       SCREAMING_SNAKE_CASE       :      Optional[Any]							=    num_attention_heads
       SCREAMING_SNAKE_CASE       :      int							=    hidden_act
       SCREAMING_SNAKE_CASE       :      str							=    intermediate_size
       SCREAMING_SNAKE_CASE       :      int							=    hidden_dropout_prob
       SCREAMING_SNAKE_CASE       :      int							=    attention_probs_dropout_prob
       SCREAMING_SNAKE_CASE       :      Tuple							=    max_position_embeddings
       SCREAMING_SNAKE_CASE       :      List[str]							=    type_vocab_size
       SCREAMING_SNAKE_CASE       :      Union[str, Any]							=    initializer_range
       SCREAMING_SNAKE_CASE       :      Union[str, Any]							=    layer_norm_eps
       SCREAMING_SNAKE_CASE       :      Union[str, Any]							=    position_embedding_type
       SCREAMING_SNAKE_CASE       :      List[Any]							=    use_cache














def   lowerCamelCase__			(     lowercase				):

  """simple docstring"""






  SCREAMING_SNAKE_CASE       :      Dict							=    [0] * len(lowercase				)
  SCREAMING_SNAKE_CASE       :      List[str]							=    []
  SCREAMING_SNAKE_CASE       :      Optional[Any]							=    []
  SCREAMING_SNAKE_CASE       :      Any							=    0

  for values in graph.values():
    for i in values:
      indegree[i] += 1

  for i in range(len(lowercase				)				):
    if indegree[i] == 0:
      queue.append(lowercase				)

  while queue:
    SCREAMING_SNAKE_CASE       :      Optional[Any]							=    queue.pop(0				)
    cnt += 1
    topo.append(lowercase				)
    for x in graph[vertex]:
      indegree[x] -= 1
      if indegree[x] == 0:
        queue.append(lowercase				)

  if cnt != len(lowercase				):
    print("Cycle exists"				)
  else:
    print(lowercase				)


# Adjacency List of Graph
snake_case    				=		{0: [1, 2], 1: [3], 2: [3], 3: [4, 5], 4: [], 5: []}

topological_sort(graph)






