




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


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

# TODO: upload to AWS
_lowerCamelCase	:		Tuple							       =   {
    "yjernite/retribert-base-uncased": (
        "https://huggingface.co/yjernite/retribert-base-uncased/resolve/main/config.json"
    ),
}


class 				UpperCamelCase_    ( UpperCAmelCase__     ):

    '''simple docstring'''






    UpperCAmelCase__							  =      'retribert'


    def __init__(			self      :	Any					, UpperCAmelCase__      :	Tuple=30_522					, UpperCAmelCase__      :	Optional[int]=768					, UpperCAmelCase__      :	Any=8					, UpperCAmelCase__      :	Tuple=12					, UpperCAmelCase__      :	Union[str, Any]=3_072					, UpperCAmelCase__      :	Tuple="gelu"					, UpperCAmelCase__      :	List[Any]=0.1					, UpperCAmelCase__      :	Union[str, Any]=0.1					, UpperCAmelCase__      :	str=512					, UpperCAmelCase__      :	List[Any]=2					, UpperCAmelCase__      :	List[str]=0.02					, UpperCAmelCase__      :	Tuple=1e-12					, UpperCAmelCase__      :	Dict=True					, UpperCAmelCase__      :	List[Any]=128					, UpperCAmelCase__      :	str=0					, **UpperCAmelCase__      :	Any					, )						->Optional[Any]:





           '''simple docstring'''

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

           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__       =    share_encoders
           A__       =    projection_dim







"""simple docstring"""
from __future__ import annotations



class       SCREAMING_SNAKE_CASE__  :

   def __init__(   self      ,     _SCREAMING_SNAKE_CASE						)  ->      None:





    '''simple docstring'''




    UpperCAmelCase	:					Any	=	data
    UpperCAmelCase	:					Node | None	=	None
    UpperCAmelCase	:					Node | None	=	None

def       _snake_case						(						UpperCamelCase						:		Node | None						):  # In Order traversal of the tree
 if tree:
  display(tree.left						)
  print(tree.data						)
  display(tree.right						)

def       _snake_case						(						UpperCamelCase						:		Node | None						):
 return 1 + max(depth_of_tree(tree.left						)			,		depth_of_tree(tree.right						)						) if tree else 0

def       _snake_case						(						UpperCamelCase						:		Node						):
 if not tree:
  return True
 if tree.left and tree.right:
  return is_full_binary_tree(tree.left						) and is_full_binary_tree(tree.right						)
 else:
  return not tree.left and not tree.right

def       _snake_case						(						):  # Main function for testing.
 UpperCAmelCase	:					int	=	Node(1						)
 UpperCAmelCase	:					Tuple	=	Node(2						)
 UpperCAmelCase	:					Any	=	Node(3						)
 UpperCAmelCase	:					Optional[int]	=	Node(4						)
 UpperCAmelCase	:					Any	=	Node(5						)
 UpperCAmelCase	:					Optional[int]	=	Node(6						)
 UpperCAmelCase	:					int	=	Node(7						)
 UpperCAmelCase	:					str	=	Node(8						)
 UpperCAmelCase	:					str	=	Node(9						)

 print(is_full_binary_tree(UpperCamelCase						)						)
 print(depth_of_tree(UpperCamelCase						)						)
 print("""Tree is: """						)
 display(UpperCamelCase						)


if __name__ == "__main__":
      main()
