




from __future__ import annotations






class lowerCAmelCase__			:






			'''simple docstring'''



			def __init__(						self						,   lowercase						):
							_lowerCamelCase  :    int					=					data
							_lowerCamelCase  :    Node | None					=					None
							_lowerCamelCase  :    Node | None					=					None







def   _snake_case    (       lowercase__	):  # In Order traversal of the tree






				if tree:
								display(tree.left	)
								print(tree.data	)
								display(tree.right	)







def   _snake_case    (       lowercase__	):
				return 1 + max(depth_of_tree(tree.left	)							,					depth_of_tree(tree.right	)	) if tree else 0







def   _snake_case    (       lowercase__	):






				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.
				_lowerCamelCase  :    Optional[int]					=					Node(1	)
				_lowerCamelCase  :    Optional[Any]					=					Node(2	)
				_lowerCamelCase  :    List[Any]					=					Node(3	)
				_lowerCamelCase  :    int					=					Node(4	)
				_lowerCamelCase  :    str					=					Node(5	)
				_lowerCamelCase  :    List[Any]					=					Node(6	)
				_lowerCamelCase  :    Any					=					Node(7	)
				_lowerCamelCase  :    List[str]					=					Node(8	)
				_lowerCamelCase  :    Dict					=					Node(9	)

				print(is_full_binary_tree(a_	)	)
				print(depth_of_tree(a_	)	)
				print('Tree is: '	)
				display(a_	)


if __name__ == "__main__":
			main()





"""simple docstring"""






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


lowercase__  		=		logging.get_logger(__name__)

lowercase__  		=		{
    """google/realm-cc-news-pretrained-embedder""": (
        """https://huggingface.co/google/realm-cc-news-pretrained-embedder/resolve/main/config.json"""
    ),
    """google/realm-cc-news-pretrained-encoder""": (
        """https://huggingface.co/google/realm-cc-news-pretrained-encoder/resolve/main/config.json"""
    ),
    """google/realm-cc-news-pretrained-scorer""": (
        """https://huggingface.co/google/realm-cc-news-pretrained-scorer/resolve/main/config.json"""
    ),
    """google/realm-cc-news-pretrained-openqa""": (
        """https://huggingface.co/google/realm-cc-news-pretrained-openqa/aresolve/main/config.json"""
    ),
    """google/realm-orqa-nq-openqa""": """https://huggingface.co/google/realm-orqa-nq-openqa/resolve/main/config.json""",
    """google/realm-orqa-nq-reader""": """https://huggingface.co/google/realm-orqa-nq-reader/resolve/main/config.json""",
    """google/realm-orqa-wq-openqa""": """https://huggingface.co/google/realm-orqa-wq-openqa/resolve/main/config.json""",
    """google/realm-orqa-wq-reader""": """https://huggingface.co/google/realm-orqa-wq-reader/resolve/main/config.json""",
    # See all REALM models at https://huggingface.co/models?filter=realm
}






class lowerCAmelCase__			(  lowercase		):






			'''simple docstring'''



			lowerCamelCase__   =    """realm"""
			def __init__(						self						,   lowercase=30522						,   lowercase=768						,   lowercase=128						,   lowercase=12						,   lowercase=12						,   lowercase=8						,   lowercase=3072						,   lowercase="gelu_new"						,   lowercase=0.1						,   lowercase=0.1						,   lowercase=512						,   lowercase=2						,   lowercase=0.02						,   lowercase=1E-12						,   lowercase=256						,   lowercase=10						,   lowercase=1E-3						,   lowercase=5						,   lowercase=320						,   lowercase=13353718						,   lowercase=5000						,   lowercase=1						,   lowercase=0						,   lowercase=2						,   **lowercase						,   ):
							super().__init__(pad_token_id=lowercase						,   bos_token_id=lowercase						,   eos_token_id=lowercase						,   **lowercase						)

							# Common config
							_lowerCamelCase  :    str					=					vocab_size
							_lowerCamelCase  :    Dict					=					max_position_embeddings
							_lowerCamelCase  :    int					=					hidden_size
							_lowerCamelCase  :    Optional[Any]					=					retriever_proj_size
							_lowerCamelCase  :    Dict					=					num_hidden_layers
							_lowerCamelCase  :    Any					=					num_attention_heads
							_lowerCamelCase  :    int					=					num_candidates
							_lowerCamelCase  :    List[Any]					=					intermediate_size
							_lowerCamelCase  :    int					=					hidden_act
							_lowerCamelCase  :    Union[str, Any]					=					hidden_dropout_prob
							_lowerCamelCase  :    Dict					=					attention_probs_dropout_prob
							_lowerCamelCase  :    Union[str, Any]					=					initializer_range
							_lowerCamelCase  :    List[Any]					=					type_vocab_size
							_lowerCamelCase  :    int					=					layer_norm_eps

							# Reader config
							_lowerCamelCase  :    Tuple					=					span_hidden_size
							_lowerCamelCase  :    int					=					max_span_width
							_lowerCamelCase  :    Tuple					=					reader_layer_norm_eps
							_lowerCamelCase  :    Union[str, Any]					=					reader_beam_size
							_lowerCamelCase  :    Union[str, Any]					=					reader_seq_len

							# Retrieval config
							_lowerCamelCase  :    Optional[Any]					=					num_block_records
							_lowerCamelCase  :    str					=					searcher_beam_size