"""simple docstring"""







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


UpperCamelCase_    :    Tuple											=						logging.get_logger(__name__)

UpperCamelCase_    :    str											=						{
    # 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      _lowercase						(				__lowerCamelCase					):
				lowerCamelCase__									=    'graphormer'
				lowerCamelCase__									=    ['past_key_values']

				def __init__(       self    :      List[Any]    ,      _lowercase    :      int = 1    ,      _lowercase    :      int = 5_1_2 * 9    ,      _lowercase    :      int = 5_1_2 * 3    ,      _lowercase    :      int = 5_1_2    ,      _lowercase    :      int = 5_1_2    ,      _lowercase    :      int = 5_1_2    ,      _lowercase    :      int = 1_2_8    ,      _lowercase    :      int = 5    ,      _lowercase    :      int = 1_0_2_4    ,      _lowercase    :      str = "multi_hop"    ,      _lowercase    :      int = 5_1_2    ,      _lowercase    :      bool = False    ,      _lowercase    :      int = 1_2    ,      _lowercase    :      int = 7_6_8    ,      _lowercase    :      int = 7_6_8    ,      _lowercase    :      int = 3_2    ,      _lowercase    :      float = 0.1    ,      _lowercase    :      float = 0.1    ,      _lowercase    :      float = 0.0    ,      _lowercase    :      bool = False    ,      _lowercase    :      bool = False    ,      _lowercase    :      bool = False    ,      _lowercase    :      str = "gelu"    ,      _lowercase    :      float = None    ,      _lowercase    :      bool = False    ,      _lowercase    :      int = 0    ,      _lowercase    :      bool = False    ,      _lowercase    :      float = 0.0    ,      _lowercase    :      int = 8    ,      _lowercase    :      int = None    ,      _lowercase    :      int = None    ,      _lowercase    :      bool = True    ,      _lowercase    :      bool = True    ,      _lowercase    :      Optional[Any]=0    ,      _lowercase    :      Optional[Any]=1    ,      _lowercase    :      Optional[Any]=2    ,      **_lowercase    :      Tuple    ,      ):


										'''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=_lowercase    ,      bos_token_id=_lowercase    ,      eos_token_id=_lowercase    ,      **_lowercase    ,      )


"""simple docstring"""







def 					a__ (						UpperCAmelCase__    :     List[Any]     )->		Dict:
						UpperCAmelCase__   		=						[7_0_1, 3_0_1, 1_3_2, 5_7, 2_3, 1_0, 4, 1]
						for gap in gaps:
												for i in range(UpperCAmelCase__						,     len(UpperCAmelCase__     )     ):
																		UpperCAmelCase__   		=						collection[i]
																		UpperCAmelCase__   		=						i
																		while j >= gap and collection[j - gap] > insert_value:
																								UpperCAmelCase__   		=						collection[j - gap]
																								j -= gap
																		if j != i:
																								UpperCAmelCase__   		=						insert_value
						return collection


if __name__ == "__main__":
						from doctest import testmod

						testmod()
						UpperCamelCase_    :    Union[str, Any]											=						input("""Enter numbers separated by a comma:\n""").strip()
						UpperCamelCase_    :    int											=						[int(item) for item in user_input.split(""",""")]
						print(shell_sort(unsorted))

