





"""simple docstring"""


from __future__ import annotations

from collections import namedtuple
from dataclasses import dataclass



@dataclass
class      __SCREAMING_SNAKE_CASE    :







		'''simple docstring'''


		SCREAMING_SNAKE_CASE__							:int
		SCREAMING_SNAKE_CASE__							:TreeNode | None	     =					None
		SCREAMING_SNAKE_CASE__							:TreeNode | None	     =					None





lowerCamelCase__				  =   namedtuple("CoinsDistribResult", "moves excess")




def 					lowercase__    (					lowercase_			)					->		int:




						"""simple docstring"""

						if root is None:
												return 0

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

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

						def count_coins(lowercase_			) -> int:
												if node is None:
																		return 0

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

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

						# Main calculation
						def get_distrib(lowercase_			) -> CoinsDistribResult:

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

												_UpperCamelCase      :	int						=       get_distrib(node.left			)
												_UpperCamelCase      :	List[str]						=       get_distrib(node.right			)

												_UpperCamelCase      :	Tuple						=       1 - left_distrib_excess
												_UpperCamelCase      :	Union[str, Any]						=       1 - right_distrib_excess

												_UpperCamelCase      :	List[Any]						=       (
												    left_distrib_moves
												    + right_distrib_moves
												    + abs(lowercase_			)
												    + abs(lowercase_			)
												)
												_UpperCamelCase      :	Optional[int]						=       node.data - coins_to_left - coins_to_right

												return CoinsDistribResult(lowercase_		,lowercase_			)

						return get_distrib(lowercase_			)[0]


if __name__ == "__main__":
		import doctest

		doctest.testmod()







"""simple docstring"""


from collections import OrderedDict
from typing import Mapping

from packaging import version

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


lowerCamelCase__				  =   logging.get_logger(__name__)

lowerCamelCase__				  =   {
    "hustvl/yolos-small": "https://huggingface.co/hustvl/yolos-small/resolve/main/config.json",
    # See all YOLOS models at https://huggingface.co/models?filter=yolos
}



class      __SCREAMING_SNAKE_CASE    (						_UpperCamelCase   ):







  '''simple docstring'''


  SCREAMING_SNAKE_CASE__							:Tuple	     =					"yolos"

  def __init__(		self   :       Dict					,   __a   :       Optional[Any]=768					,   __a   :       List[Any]=12					,   __a   :       Any=12					,   __a   :       List[Any]=3072					,   __a   :       Optional[int]="gelu"					,   __a   :       Dict=0.0					,   __a   :       Optional[Any]=0.0					,   __a   :       Any=0.02					,   __a   :       Optional[int]=1e-1_2					,   __a   :       List[Any]=[512, 864]					,   __a   :       List[str]=16					,   __a   :       str=3					,   __a   :       Optional[Any]=True					,   __a   :       Optional[Any]=100					,   __a   :       List[str]=True					,   __a   :       Any=False					,   __a   :       List[str]=1					,   __a   :       str=5					,   __a   :       Optional[Any]=2					,   __a   :       Tuple=5					,   __a   :       Any=2					,   __a   :       Union[str, Any]=0.1					,   **__a   :       List[str]					,   )		->				List[str]:
        super().__init__(**__a	)

        _UpperCamelCase      :	Dict						=       hidden_size
        _UpperCamelCase      :	Any						=       num_hidden_layers
        _UpperCamelCase      :	str						=       num_attention_heads
        _UpperCamelCase      :	Dict						=       intermediate_size
        _UpperCamelCase      :	List[str]						=       hidden_act
        _UpperCamelCase      :	List[str]						=       hidden_dropout_prob
        _UpperCamelCase      :	str						=       attention_probs_dropout_prob
        _UpperCamelCase      :	Tuple						=       initializer_range
        _UpperCamelCase      :	List[str]						=       layer_norm_eps
        _UpperCamelCase      :	Tuple						=       image_size
        _UpperCamelCase      :	Tuple						=       patch_size
        _UpperCamelCase      :	Dict						=       num_channels
        _UpperCamelCase      :	Any						=       qkv_bias
        _UpperCamelCase      :	str						=       num_detection_tokens
        _UpperCamelCase      :	str						=       use_mid_position_embeddings
        _UpperCamelCase      :	List[str]						=       auxiliary_loss
        # Hungarian matcher
        _UpperCamelCase      :	List[Any]						=       class_cost
        _UpperCamelCase      :	int						=       bbox_cost
        _UpperCamelCase      :	Optional[int]						=       giou_cost
        # Loss coefficients
        _UpperCamelCase      :	List[Any]						=       bbox_loss_coefficient
        _UpperCamelCase      :	str						=       giou_loss_coefficient
        _UpperCamelCase      :	Dict						=       eos_coefficient





class      __SCREAMING_SNAKE_CASE    (						_UpperCamelCase   ):







  '''simple docstring'''


  SCREAMING_SNAKE_CASE__							:List[str]	     =					version.parse("1.11"   )

  @property
  def    __SCREAMING_SNAKE_CASE				(		self   :       str	)		->				Mapping[str, Mapping[int, str]]:
        return OrderedDict(
            [
                ("pixel_values", {0: "batch", 1: "num_channels", 2: "height", 3: "width"}),
            ]	)

  @property
  def    __SCREAMING_SNAKE_CASE				(		self   :       Optional[Any]	)		->				float:
        return 1e-4


  @property
  def    __SCREAMING_SNAKE_CASE				(		self   :       Dict	)		->				int:
        return 12
