





'''simple docstring'''



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


snake_case_   :  Any								=      logging.get_logger(__name__)

snake_case_   :  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_ (  UpperCamelCase_  ):

			'''simple docstring'''





			_lowerCAmelCase						=    """graphormer"""
			_lowerCAmelCase						=    ["""past_key_values"""]




			def __init__(					self			,     A_ = 1			,     A_ = 5_12 * 9			,     A_ = 5_12 * 3			,     A_ = 5_12			,     A_ = 5_12			,     A_ = 5_12			,     A_ = 1_28			,     A_ = 5			,     A_ = 10_24			,     A_ = "multi_hop"			,     A_ = 5_12			,     A_ = False			,     A_ = 12			,     A_ = 7_68			,     A_ = 7_68			,     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_			,     ):
								_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			,     )










'''simple docstring'''



from __future__ import annotations



def  lowercase__(		_UpperCamelCase  : list[list[int]] ,   _UpperCamelCase  : int ,   _UpperCamelCase  : int ,   _UpperCamelCase  : int | float				)->   None:






					"""simple docstring"""

					_UpperCamelCase				,	_UpperCamelCase											=   m - 1, 0
					while i >= 0 and j < n:
										if key == mat[i][j]:
															print(f"Key {key} found at row- {i + 1} column- {j + 1}"				)
															return
										if key < mat[i][j]:
															i -= 1
										else:
															j += 1
					print(f"Key {key} not found"				)



def  lowercase__(		)->   None:






					"""simple docstring"""

					_UpperCamelCase											=   [[2, 5, 7], [4, 8, 13], [9, 11, 15], [12, 17, 20]]
					_UpperCamelCase											=   int(input("Enter the element to be searched:"				)				)
					print(_UpperCamelCase				)
					search_in_a_sorted_matrix(_UpperCamelCase ,   len(_UpperCamelCase				) ,   len(mat[0]				) ,   _UpperCamelCase				)


if __name__ == "__main__":
			import doctest

			doctest.testmod()
			main()



