






from __future__ import annotations

from dataclasses import dataclass




@dataclass
class 			snake_case__   :

       '''simple docstring'''
       lowerCamelCase							:				str 				= 42
       lowerCamelCase							:				str 				= None
       lowerCamelCase							:				Dict 				= None






def   UpperCamelCase  (       snake_case__     :   TreeNode | None  ):




     '''simple docstring'''






     def is_valid_tree(snake_case__     :   TreeNode | None  ) -> bool:
          if node is None:
               return True

          if not isinstance(snake_case__	,snake_case__  ):
               return False

          try:
               float(node.data  )
          except (TypeError, ValueError):
               return False

          return is_valid_tree(node.left  ) and is_valid_tree(node.right  )

     if not is_valid_tree(snake_case__  ):
          raise ValueError(
              """Each node should be type of TreeNode and data should be float."""  )

     def is_binary_search_tree_recursive_check(
         snake_case__     :   TreeNode | None	,snake_case__     :   float	,snake_case__     :   float  ) -> bool:

          if node is None:
               return True

          return (
              left_bound < node.data < right_bound
              and is_binary_search_tree_recursive_check(node.left	,snake_case__	,node.data  )
              and is_binary_search_tree_recursive_check(
                  node.right	,node.data	,snake_case__  )
          )

     return is_binary_search_tree_recursive_check(snake_case__	,-float("""inf"""  )	,float("""inf"""  )  )


if __name__ == "__main__":
     import doctest

     doctest.testmod()












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


lowerCamelCase__							=     logging.get_logger(__name__)

lowerCamelCase__							=     {
    """uclanlp/visualbert-vqa""": """https://huggingface.co/uclanlp/visualbert-vqa/resolve/main/config.json""",
    """uclanlp/visualbert-vqa-pre""": """https://huggingface.co/uclanlp/visualbert-vqa-pre/resolve/main/config.json""",
    """uclanlp/visualbert-vqa-coco-pre""": (
        """https://huggingface.co/uclanlp/visualbert-vqa-coco-pre/resolve/main/config.json"""
    ),
    """uclanlp/visualbert-vcr""": """https://huggingface.co/uclanlp/visualbert-vcr/resolve/main/config.json""",
    """uclanlp/visualbert-vcr-pre""": """https://huggingface.co/uclanlp/visualbert-vcr-pre/resolve/main/config.json""",
    """uclanlp/visualbert-vcr-coco-pre""": (
        """https://huggingface.co/uclanlp/visualbert-vcr-coco-pre/resolve/main/config.json"""
    ),
    """uclanlp/visualbert-nlvr2""": """https://huggingface.co/uclanlp/visualbert-nlvr2/resolve/main/config.json""",
    """uclanlp/visualbert-nlvr2-pre""": """https://huggingface.co/uclanlp/visualbert-nlvr2-pre/resolve/main/config.json""",
    """uclanlp/visualbert-nlvr2-coco-pre""": (
        """https://huggingface.co/uclanlp/visualbert-nlvr2-coco-pre/resolve/main/config.json"""
    )
    # See all VisualBERT models at https://huggingface.co/models?filter=visual_bert
}




class 			snake_case__   (							lowercase_):

       '''simple docstring'''
       lowerCamelCase							:				Optional[int] 				= "visual_bert"



       def __init__(							self			,						a__=3_05_22			,						a__=7_68			,						a__=5_12			,						a__=12			,						a__=12			,						a__=30_72			,						a__="gelu"			,						a__=0.1			,						a__=0.1			,						a__=5_12			,						a__=2			,						a__=0.02			,						a__=1e-12			,						a__=False			,						a__=True			,						a__=1			,						a__=0			,						a__=2			,						**a__			,						) ->      Any:






            '''simple docstring'''





            super().__init__(pad_token_id=a__			,						bos_token_id=a__			,						eos_token_id=a__			,						**a__    )

            __snake_case			:Tuple          =						vocab_size
            __snake_case			:Any          =						max_position_embeddings
            __snake_case			:int          =						hidden_size
            __snake_case			:List[str]          =						visual_embedding_dim
            __snake_case			:List[str]          =						num_hidden_layers
            __snake_case			:Tuple          =						num_attention_heads
            __snake_case			:str          =						intermediate_size
            __snake_case			:Union[str, Any]          =						hidden_act
            __snake_case			:Union[str, Any]          =						hidden_dropout_prob
            __snake_case			:str          =						attention_probs_dropout_prob
            __snake_case			:Tuple          =						initializer_range
            __snake_case			:str          =						type_vocab_size
            __snake_case			:Optional[Any]          =						layer_norm_eps
            __snake_case			:Union[str, Any]          =						bypass_transformer
            __snake_case			:Tuple          =						special_visual_initialize


