


'''simple docstring'''



from __future__ import annotations

from collections import namedtuple
from dataclasses import dataclass






@dataclass
class 	UpperCamelCase__:
				__magic_name__    :				int
				__magic_name__    :				TreeNode | None  		=	None
				__magic_name__    :				TreeNode | None  		=	None







_lowercase      :      Tuple            =					namedtuple("""CoinsDistribResult""", """moves excess""")


def 				lowerCamelCase__				(	A       :      TreeNode | None					):




						'''simple docstring'''






						if root is None:
												return 0

						# Validation
						def count_nodes(A       :      TreeNode | None					) -> int:
												if node is None:
																		return 0

												return count_nodes(node.left					) + count_nodes(node.right					) + 1

						def count_coins(A       :      TreeNode | None					) -> int:
												if node is None:
																		return 0

												return count_coins(node.left					) + count_coins(node.right					) + node.data

						if count_nodes(A					) != count_coins(A					):
												raise ValueError('''The nodes number should be same as the number of coins'''					)

						# Main calculation
						def get_distrib(A       :      TreeNode | None					) -> CoinsDistribResult:

												if node is None:
																		return CoinsDistribResult(0				,       1					)

												UpperCAmelCase    ,    UpperCAmelCase					    =     get_distrib(node.left					)
												UpperCAmelCase    ,    UpperCAmelCase					    =     get_distrib(node.right					)

												UpperCAmelCase					    =     1 - left_distrib_excess
												UpperCAmelCase					    =     1 - right_distrib_excess

												UpperCAmelCase					    =     (
												    left_distrib_moves
												    + right_distrib_moves
												    + abs(A					)
												    + abs(A					)
												)
												UpperCAmelCase					    =     node.data - coins_to_left - coins_to_right

												return CoinsDistribResult(A				,       A					)

						return get_distrib(A					)[0]


if __name__ == "__main__":
	import doctest

	doctest.testmod()









'''simple docstring'''



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


_lowercase      :      int            =					logging.get_logger(__name__)

_lowercase      :      Optional[Any]            =					{"""openai-gpt""": """https://huggingface.co/openai-gpt/resolve/main/config.json"""}






class 	UpperCamelCase__(       lowerCAmelCase	):
				__magic_name__    :				Union[str, Any]  		=	"openai-gpt"
				__magic_name__    :				Optional[int]  		=	{
				    "max_position_embeddings": "n_positions",
				    "hidden_size": "n_embd",
				    "num_attention_heads": "n_head",
				    "num_hidden_layers": "n_layer",
				}




				def __init__(		self      :			Optional[int]				,   lowerCAmelCase      :			Optional[Any]=40478				,   lowerCAmelCase      :			str=512				,   lowerCAmelCase      :			List[Any]=768				,   lowerCAmelCase      :			Tuple=12				,   lowerCAmelCase      :			int=12				,   lowerCAmelCase      :			List[str]="gelu"				,   lowerCAmelCase      :			List[str]=0.1				,   lowerCAmelCase      :			List[Any]=0.1				,   lowerCAmelCase      :			Dict=0.1				,   lowerCAmelCase      :			Tuple=1E-5				,   lowerCAmelCase      :			Tuple=0.02				,   lowerCAmelCase      :			Optional[int]="cls_index"				,   lowerCAmelCase      :			Dict=True				,   lowerCAmelCase      :			Optional[int]=None				,   lowerCAmelCase      :			Dict=True				,   lowerCAmelCase      :			int=0.1				,   **lowerCAmelCase      :			Optional[int]				,   )->					str:

										"""simple docstring"""




										UpperCAmelCase					    =     vocab_size
										UpperCAmelCase					    =     n_positions
										UpperCAmelCase					    =     n_embd
										UpperCAmelCase					    =     n_layer
										UpperCAmelCase					    =     n_head
										UpperCAmelCase					    =     afn
										UpperCAmelCase					    =     resid_pdrop
										UpperCAmelCase					    =     embd_pdrop
										UpperCAmelCase					    =     attn_pdrop
										UpperCAmelCase					    =     layer_norm_epsilon
										UpperCAmelCase					    =     initializer_range
										UpperCAmelCase					    =     summary_type
										UpperCAmelCase					    =     summary_use_proj
										UpperCAmelCase					    =     summary_activation
										UpperCAmelCase					    =     summary_first_dropout
										UpperCAmelCase					    =     summary_proj_to_labels
										super().__init__(**lowerCAmelCase				)





