




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


lowercase_     :    Union[str, Any]      =			logging.get_logger(__name__)

lowercase_     :    Union[str, Any]      =			{
    # 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__			):
			snake_case_				:			int								=					'''graphormer'''
			snake_case_				:			List[Any]								=					['''past_key_values''']







			def __init__(	self   :      Tuple   ,   snake_case__   :      Tuple = 1   ,   snake_case__   :      List[Any] = 512 * 9   ,   snake_case__   :      str = 512 * 3   ,   snake_case__   :      str = 512   ,   snake_case__   :      Union[str, Any] = 512   ,   snake_case__   :      Optional[Any] = 512   ,   snake_case__   :      Optional[Any] = 128   ,   snake_case__   :      int = 5   ,   snake_case__   :      Optional[Any] = 1_024   ,   snake_case__   :      int = "multi_hop"   ,   snake_case__   :      Any = 512   ,   snake_case__   :      str = False   ,   snake_case__   :      Any = 12   ,   snake_case__   :      Optional[int] = 768   ,   snake_case__   :      int = 768   ,   snake_case__   :      List[Any] = 32   ,   snake_case__   :      str = 0.1   ,   snake_case__   :      int = 0.1   ,   snake_case__   :      Tuple = 0.0   ,   snake_case__   :      Optional[Any] = False   ,   snake_case__   :      int = False   ,   snake_case__   :      Optional[Any] = False   ,   snake_case__   :      List[Any] = "gelu"   ,   snake_case__   :      List[str] = None   ,   snake_case__   :      str = False   ,   snake_case__   :      Dict = 0   ,   snake_case__   :      Tuple = False   ,   snake_case__   :      List[Any] = 0.0   ,   snake_case__   :      Union[str, Any] = 8   ,   snake_case__   :      Tuple = None   ,   snake_case__   :      Any = None   ,   snake_case__   :      Any = True   ,   snake_case__   :      Tuple = True   ,   snake_case__   :      List[Any]=0   ,   snake_case__   :      List[str]=1   ,   snake_case__   :      Optional[Any]=2   ,   **snake_case__   :      Any   ,   ):




									"""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=__lowerCAmelCase   ,   bos_token_id=__lowerCAmelCase   ,   eos_token_id=__lowerCAmelCase   ,   **__lowerCAmelCase   ,   )










from __future__ import annotations

from collections.abc import Generator


def 							__SCREAMING_SNAKE_CASE  (      snake_case_						):

						'''simple docstring'''


						if not isinstance(snake_case_     ,   snake_case_						) or n < 1:
												raise Exception("Sequence only defined for positive integers"						)

						yield n
						while n != 1:
												if n % 2 == 0:
																		n //= 2
												else:
																		_UpperCAmelCase													=					3 * n + 1
												yield n


def 							__SCREAMING_SNAKE_CASE  (      ):

						'''simple docstring'''


						_UpperCAmelCase													=					43
						_UpperCAmelCase													=					tuple(collatz_sequence(snake_case_						)						)
						print(snake_case_						)
						print(f"""Collatz sequence from {n} took {len(snake_case_						)} steps."""						)


if __name__ == "__main__":
				main()




