






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


SCREAMING_SNAKE_CASE       							=  logging.get_logger(__name__)

SCREAMING_SNAKE_CASE       							=  {
    # 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_			(  __lowercase	):






 '''simple docstring'''




 _SCREAMING_SNAKE_CASE							:	Optional[int]       =    "graphormer"
 _SCREAMING_SNAKE_CASE							:	List[Any]       =    ["past_key_values"]


 def __init__(		self							,     _A = 1							,     _A = 512 * 9							,     _A = 512 * 3							,     _A = 512							,     _A = 512							,     _A = 512							,     _A = 128							,     _A = 5							,     _A = 1024							,     _A = "multi_hop"							,     _A = 512							,     _A = False							,     _A = 12							,     _A = 768							,     _A = 768							,     _A = 32							,     _A = 0.1							,     _A = 0.1							,     _A = 0.0							,     _A = False							,     _A = False							,     _A = False							,     _A = "gelu"							,     _A = None							,     _A = False							,     _A = 0							,     _A = False							,     _A = 0.0							,     _A = 8							,     _A = None							,     _A = None							,     _A = True							,     _A = True							,     _A=0							,     _A=1							,     _A=2							,     **_A							,     )       ->						Any:

     """simple docstring"""



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

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

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












"""simple docstring"""


def 			snake_case  (A_      :int = 1_0_0_0      ):







  '''simple docstring'''

  a     :			Union[str, Any]				=   0
  a     :			int				=   (n - 1) // 3
  total += ((terms) * (6 + (terms - 1) * 3)) // 2  # total of an A.P.
  a     :			Tuple				=   (n - 1) // 5
  total += ((terms) * (1_0 + (terms - 1) * 5)) // 2
  a     :			Dict				=   (n - 1) // 1_5
  total -= ((terms) * (3_0 + (terms - 1) * 1_5)) // 2
  return total


if __name__ == "__main__":
   print(f'''{solution() = }''')




