

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      lowerCamelCase_ (			_lowerCAmelCase):
 _lowerCAmelCase									=	'''graphormer'''
 _lowerCAmelCase									=	['''past_key_values''']




 def __init__(			self  ,  _UpperCAmelCase = 1  ,  _UpperCAmelCase = 512 * 9  ,  _UpperCAmelCase = 512 * 3  ,  _UpperCAmelCase = 512  ,  _UpperCAmelCase = 512  ,  _UpperCAmelCase = 512  ,  _UpperCAmelCase = 128  ,  _UpperCAmelCase = 5  ,  _UpperCAmelCase = 1_024  ,  _UpperCAmelCase = "multi_hop"  ,  _UpperCAmelCase = 512  ,  _UpperCAmelCase = False  ,  _UpperCAmelCase = 12  ,  _UpperCAmelCase = 768  ,  _UpperCAmelCase = 768  ,  _UpperCAmelCase = 32  ,  _UpperCAmelCase = 0.1  ,  _UpperCAmelCase = 0.1  ,  _UpperCAmelCase = 0.0  ,  _UpperCAmelCase = False  ,  _UpperCAmelCase = False  ,  _UpperCAmelCase = False  ,  _UpperCAmelCase = "gelu"  ,  _UpperCAmelCase = None  ,  _UpperCAmelCase = False  ,  _UpperCAmelCase = 0  ,  _UpperCAmelCase = False  ,  _UpperCAmelCase = 0.0  ,  _UpperCAmelCase = 8  ,  _UpperCAmelCase = None  ,  _UpperCAmelCase = None  ,  _UpperCAmelCase = True  ,  _UpperCAmelCase = True  ,  _UpperCAmelCase=0  ,  _UpperCAmelCase=1  ,  _UpperCAmelCase=2  ,  **_UpperCAmelCase  ,  ):
   __UpperCAmelCase	:  str		=     num_classes
   __UpperCAmelCase	:  List[str]		=     num_atoms
   __UpperCAmelCase	:  List[str]		=     num_in_degree
   __UpperCAmelCase	:  Union[str, Any]		=     num_out_degree
   __UpperCAmelCase	:  List[Any]		=     num_edges
   __UpperCAmelCase	:  Optional[Any]		=     num_spatial
   __UpperCAmelCase	:  List[str]		=     num_edge_dis
   __UpperCAmelCase	:  Any		=     edge_type
   __UpperCAmelCase	:  List[str]		=     multi_hop_max_dist
   __UpperCAmelCase	:  str		=     spatial_pos_max
   __UpperCAmelCase	:  str		=     max_nodes
   __UpperCAmelCase	:  int		=     num_hidden_layers
   __UpperCAmelCase	:  List[Any]		=     embedding_dim
   __UpperCAmelCase	:  Optional[Any]		=     embedding_dim
   __UpperCAmelCase	:  Optional[int]		=     ffn_embedding_dim
   __UpperCAmelCase	:  int		=     num_attention_heads
   __UpperCAmelCase	:  List[Any]		=     dropout
   __UpperCAmelCase	:  Union[str, Any]		=     attention_dropout
   __UpperCAmelCase	:  Dict		=     layerdrop
   __UpperCAmelCase	:  Optional[int]		=     encoder_normalize_before
   __UpperCAmelCase	:  Dict		=     pre_layernorm
   __UpperCAmelCase	:  str		=     apply_graphormer_init
   __UpperCAmelCase	:  List[Any]		=     activation_fn
   __UpperCAmelCase	:  int		=     embed_scale
   __UpperCAmelCase	:  Any		=     freeze_embeddings
   __UpperCAmelCase	:  List[Any]		=     num_trans_layers_to_freeze
   __UpperCAmelCase	:  Union[str, Any]		=     share_input_output_embed
   __UpperCAmelCase	:  Any		=     traceable
   __UpperCAmelCase	:  Optional[int]		=     q_noise
   __UpperCAmelCase	:  str		=     qn_block_size

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

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










'''simple docstring'''



def 							__UpperCAmelCase				(				UpperCamelCase__				:int   ,				UpperCamelCase__				:list			)		->						list:
				snake_case__      :   List[str]      =    sorted(UpperCamelCase__   ,				key=lambda UpperCamelCase__			: value[2]   ,				reverse=UpperCamelCase__			)

				# Create a list of size equal to the maximum deadline
				# and initialize it with -1
				snake_case__      :   Any      =    max(UpperCamelCase__   ,				key=lambda UpperCamelCase__			: value[1]			)[1]
				snake_case__      :   str      =    [-1] * max_deadline

				# Finding the maximum profit and the count of jobs
				snake_case__      :   List[str]      =    0
				snake_case__      :   Optional[Any]      =    0
				for job in jobs:
								# Find a free time slot for this job
								# (Note that we start from the last possible slot)
								for i in range(job[1] - 1   ,				-1   ,				-1			):
												if time_slots[i] == -1:
																snake_case__      :   Optional[Any]      =    job[0]
																count += 1
																max_profit += job[2]
																break
				return [count, max_profit]


if __name__ == "__main__":
				import doctest

				doctest.testmod()




