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


__a  :					Optional[int]          =  logging.get_logger(__name__)

__a  :					str          =  {
    # 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        _UpperCamelCase				(						lowerCAmelCase__			):


			"""simple docstring"""






			__a  :			int      			=						'''graphormer'''
			__a  :			List[Any]      			=						['''past_key_values''']





			def __init__(       self				,       lowerCAmelCase__ = 1				,       lowerCAmelCase__ = 5_12 * 9				,       lowerCAmelCase__ = 5_12 * 3				,       lowerCAmelCase__ = 5_12				,       lowerCAmelCase__ = 5_12				,       lowerCAmelCase__ = 5_12				,       lowerCAmelCase__ = 1_28				,       lowerCAmelCase__ = 5				,       lowerCAmelCase__ = 10_24				,       lowerCAmelCase__ = "multi_hop"				,       lowerCAmelCase__ = 5_12				,       lowerCAmelCase__ = False				,       lowerCAmelCase__ = 12				,       lowerCAmelCase__ = 7_68				,       lowerCAmelCase__ = 7_68				,       lowerCAmelCase__ = 32				,       lowerCAmelCase__ = 0.1				,       lowerCAmelCase__ = 0.1				,       lowerCAmelCase__ = 0.0				,       lowerCAmelCase__ = False				,       lowerCAmelCase__ = False				,       lowerCAmelCase__ = False				,       lowerCAmelCase__ = "gelu"				,       lowerCAmelCase__ = None				,       lowerCAmelCase__ = False				,       lowerCAmelCase__ = 0				,       lowerCAmelCase__ = False				,       lowerCAmelCase__ = 0.0				,       lowerCAmelCase__ = 8				,       lowerCAmelCase__ = None				,       lowerCAmelCase__ = None				,       lowerCAmelCase__ = True				,       lowerCAmelCase__ = True				,       lowerCAmelCase__=0				,       lowerCAmelCase__=1				,       lowerCAmelCase__=2				,       **lowerCAmelCase__				,       )					-> Optional[Any]:

							'''simple docstring'''


							__lowercase			      =							num_classes
							__lowercase			      =							num_atoms
							__lowercase			      =							num_in_degree
							__lowercase			      =							num_out_degree
							__lowercase			      =							num_edges
							__lowercase			      =							num_spatial
							__lowercase			      =							num_edge_dis
							__lowercase			      =							edge_type
							__lowercase			      =							multi_hop_max_dist
							__lowercase			      =							spatial_pos_max
							__lowercase			      =							max_nodes
							__lowercase			      =							num_hidden_layers
							__lowercase			      =							embedding_dim
							__lowercase			      =							embedding_dim
							__lowercase			      =							ffn_embedding_dim
							__lowercase			      =							num_attention_heads
							__lowercase			      =							dropout
							__lowercase			      =							attention_dropout
							__lowercase			      =							layerdrop
							__lowercase			      =							encoder_normalize_before
							__lowercase			      =							pre_layernorm
							__lowercase			      =							apply_graphormer_init
							__lowercase			      =							activation_fn
							__lowercase			      =							embed_scale
							__lowercase			      =							freeze_embeddings
							__lowercase			      =							num_trans_layers_to_freeze
							__lowercase			      =							share_input_output_embed
							__lowercase			      =							traceable
							__lowercase			      =							q_noise
							__lowercase			      =							qn_block_size

							# These parameters are here for future extensions
							# atm, the model only supports self attention
							__lowercase			      =							kdim
							__lowercase			      =							vdim
							__lowercase			      =							self_attention
							__lowercase			      =							bias

							super().__init__(
							    pad_token_id=__lowerCAmelCase				,       bos_token_id=__lowerCAmelCase				,       eos_token_id=__lowerCAmelCase				,       **__lowerCAmelCase				,       )
__a  :					Union[str, Any]          =  [[0, 1, 1], [0, 0, 1], [1, 0, 0]]




class        _UpperCamelCase				:


			"""simple docstring"""






			def __init__(       self				,       lowerCAmelCase__						)					-> List[str]:

							'''simple docstring'''


							__lowercase			      =							name
							__lowercase			      =							[]
							__lowercase			      =							[]





			def 	_SCREAMING_SNAKE_CASE      (       self				,       lowerCAmelCase__						)					-> Union[str, Any]:

							'''simple docstring'''


							self.inbound.append(lowerCAmelCase__						)





			def 	_SCREAMING_SNAKE_CASE      (       self				,       lowerCAmelCase__						)					-> Union[str, Any]:

							'''simple docstring'''


							self.outbound.append(lowerCAmelCase__						)





			def __repr__(       self						)					-> Tuple:

							'''simple docstring'''


							return F"<node={self.name} inbound={self.inbound} outbound={self.outbound}>"





def     UpperCAmelCase						(   lowercase							,      lowercase=3							,      lowercase=0.85							):







				"""simple docstring"""



				__lowercase			      =							{}
				for node in nodes:
								__lowercase			      =							1

				__lowercase			      =							{}
				for node in nodes:
								__lowercase			      =							len(node.outbound							)

				for i in range(lowercase							):
								print(F"======= Iteration {i + 1} ======="							)
								for _, node in enumerate(lowercase							):
												__lowercase			      =							(1 - d) + d * sum(
												    ranks[ib] / outbounds[ib] for ib in node.inbound							)
								print(lowercase							)





def     UpperCAmelCase						(   ):







				"""simple docstring"""



				__lowercase			      =							list(input('''Enter Names of the Nodes: '''							).split()							)

				__lowercase			      =							[Node(lowercase							) for name in names]

				for ri, row in enumerate(lowercase							):
								for ci, col in enumerate(lowercase							):
												if col == 1:
																nodes[ci].add_inbound(names[ri]							)
																nodes[ri].add_outbound(names[ci]							)

				print('''======= Nodes ======='''							)
				for node in nodes:
								print(lowercase							)

				page_rank(lowercase							)


if __name__ == "__main__":
		main()