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


__lowerCamelCase :     List[str]          =  logging.get_logger(__name__)

__lowerCamelCase :     Dict          =  {
    # pcqm4mv1 now deprecated
    '''graphormer-base''': '''https://huggingface.co/clefourrier/graphormer-base-pcqm4mv2/resolve/main/config.json''',
    # See all Graphormer models at https://huggingface.co/models?filter=graphormer
}






class 		a__						( A__ ):
					A     	=							'graphormer'
					A     	=							['past_key_values']

					def __init__(   self				:	Union[str, Any],_A				:	int = 1,_A				:	int = 512 * 9,_A				:	int = 512 * 3,_A				:	int = 512,_A				:	int = 512,_A				:	int = 512,_A				:	int = 128,_A				:	int = 5,_A				:	int = 1024,_A				:	str = "multi_hop",_A				:	int = 512,_A				:	bool = False,_A				:	int = 12,_A				:	int = 768,_A				:	int = 768,_A				:	int = 32,_A				:	float = 0.1,_A				:	float = 0.1,_A				:	float = 0.0,_A				:	bool = False,_A				:	bool = False,_A				:	bool = False,_A				:	str = "gelu",_A				:	float = None,_A				:	bool = False,_A				:	int = 0,_A				:	bool = False,_A				:	float = 0.0,_A				:	int = 8,_A				:	int = None,_A				:	int = None,_A				:	bool = True,_A				:	bool = True,_A				:	Dict=0,_A				:	Dict=1,_A				:	int=2,**_A				:	List[str],):







							"""simple docstring"""






							SCREAMING_SNAKE_CASE_  :		int    				=   num_classes
							SCREAMING_SNAKE_CASE_  :		Union[str, Any]    				=   num_atoms
							SCREAMING_SNAKE_CASE_  :		int    				=   num_in_degree
							SCREAMING_SNAKE_CASE_  :		Optional[Any]    				=   num_out_degree
							SCREAMING_SNAKE_CASE_  :		Dict    				=   num_edges
							SCREAMING_SNAKE_CASE_  :		Any    				=   num_spatial
							SCREAMING_SNAKE_CASE_  :		Optional[int]    				=   num_edge_dis
							SCREAMING_SNAKE_CASE_  :		int    				=   edge_type
							SCREAMING_SNAKE_CASE_  :		Dict    				=   multi_hop_max_dist
							SCREAMING_SNAKE_CASE_  :		List[str]    				=   spatial_pos_max
							SCREAMING_SNAKE_CASE_  :		int    				=   max_nodes
							SCREAMING_SNAKE_CASE_  :		Tuple    				=   num_hidden_layers
							SCREAMING_SNAKE_CASE_  :		List[str]    				=   embedding_dim
							SCREAMING_SNAKE_CASE_  :		Tuple    				=   embedding_dim
							SCREAMING_SNAKE_CASE_  :		Optional[Any]    				=   ffn_embedding_dim
							SCREAMING_SNAKE_CASE_  :		Dict    				=   num_attention_heads
							SCREAMING_SNAKE_CASE_  :		Tuple    				=   dropout
							SCREAMING_SNAKE_CASE_  :		Tuple    				=   attention_dropout
							SCREAMING_SNAKE_CASE_  :		Any    				=   layerdrop
							SCREAMING_SNAKE_CASE_  :		List[str]    				=   encoder_normalize_before
							SCREAMING_SNAKE_CASE_  :		Optional[int]    				=   pre_layernorm
							SCREAMING_SNAKE_CASE_  :		Tuple    				=   apply_graphormer_init
							SCREAMING_SNAKE_CASE_  :		Dict    				=   activation_fn
							SCREAMING_SNAKE_CASE_  :		int    				=   embed_scale
							SCREAMING_SNAKE_CASE_  :		Tuple    				=   freeze_embeddings
							SCREAMING_SNAKE_CASE_  :		Optional[Any]    				=   num_trans_layers_to_freeze
							SCREAMING_SNAKE_CASE_  :		Tuple    				=   share_input_output_embed
							SCREAMING_SNAKE_CASE_  :		Optional[int]    				=   traceable
							SCREAMING_SNAKE_CASE_  :		Union[str, Any]    				=   q_noise
							SCREAMING_SNAKE_CASE_  :		Union[str, Any]    				=   qn_block_size

							# These parameters are here for future extensions
							# atm, the model only supports self attention
							SCREAMING_SNAKE_CASE_  :		Any    				=   kdim
							SCREAMING_SNAKE_CASE_  :		List[str]    				=   vdim
							SCREAMING_SNAKE_CASE_  :		Optional[Any]    				=   self_attention
							SCREAMING_SNAKE_CASE_  :		Optional[int]    				=   bias

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

from __future__ import annotations






class 		a__						:

					def __init__(   self				:	Union[str, Any],_A				:	int   ):







							"""simple docstring"""






							SCREAMING_SNAKE_CASE_  :		List[Any]    				=   value
							SCREAMING_SNAKE_CASE_  :		Node | None    				=   None
							SCREAMING_SNAKE_CASE_  :		Node | None    				=   None







class 		a__						:
					A     	=							42

					def __init__(   self				:	Optional[Any]   ):







							"""simple docstring"""






							SCREAMING_SNAKE_CASE_  :		List[str]    				=   0

					def     __UpperCamelCase       (   self				:	List[Any],_A				:	Node | None,_A				:	int   ):







							"""simple docstring"""






							if node is None:
									return

							if path_sum == self.target:
									self.paths += 1

							if node.left:
									self.depth_first_search(node.left,path_sum + node.left.value   )
							if node.right:
									self.depth_first_search(node.right,path_sum + node.right.value   )






					def     __UpperCamelCase       (   self				:	List[str],_A				:	Node | None,_A				:	int | None = None   ):







							"""simple docstring"""






							if node is None:
									return 0
							if target is not None:
									SCREAMING_SNAKE_CASE_  :		Union[str, Any]    				=   target

							self.depth_first_search(_A,node.value   )
							self.path_sum(node.left   )
							self.path_sum(node.right   )

							return self.paths


if __name__ == "__main__":
		import doctest

		doctest.testmod()
