


'''simple docstring'''



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


_lowercase			:			Any	   =     logging.get_logger(__name__)

_lowercase			:			int	   =     {
    # 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__(   SCREAMING_SNAKE_CASE__       ):
				__magic_name__				:      Optional[int]  		=       'graphormer'
				__magic_name__				:      List[str]  		=       ['past_key_values']




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

										"""simple docstring"""




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

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

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













from __future__ import annotations

def    lowerCAmelCase__		(			_a				:	list[int]     ,					_a				:	int			):
		snake_case_       ,				snake_case_ :							Tuple         =				0, len(_a			) - 1
		while start_ind <= end_ind:
				if array[start_ind] == search_item:
						return start_ind
				elif array[end_ind] == search_item:
						return end_ind
				else:
						start_ind += 1
						end_ind -= 1
    # returns -1 if search_item is not found in array
		return -1


if __name__ == "__main__":
							print(double_linear_search(list(range(1_00)), 40))
