




"""simple docstring"""







import copy
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
from ..auto import CONFIG_MAPPING


__A   :  Tuple					=      logging.get_logger(__name__)

__A   :  Tuple					=      {
    'microsoft/conditional-detr-resnet-50': (
        'https://huggingface.co/microsoft/conditional-detr-resnet-50/resolve/main/config.json'
    ),
}




class       lowerCAmelCase__       (			lowerCAmelCase_    ):


				"""simple docstring"""





				__UpperCAmelCase :     str       =      "conditional_detr"
				__UpperCAmelCase :     Optional[int]       =      ["past_key_values"]
				__UpperCAmelCase :     List[str]       =      {
				    "hidden_size": "d_model",
				    "num_attention_heads": "encoder_attention_heads",
				}



				def __init__(     self					:	int    ,   lowercase__					:	List[str]=True    ,   lowercase__					:	List[str]=None    ,   lowercase__					:	List[Any]=3    ,   lowercase__					:	Union[str, Any]=3_0_0    ,   lowercase__					:	List[Any]=6    ,   lowercase__					:	List[str]=2_0_4_8    ,   lowercase__					:	List[str]=8    ,   lowercase__					:	str=6    ,   lowercase__					:	int=2_0_4_8    ,   lowercase__					:	Tuple=8    ,   lowercase__					:	Tuple=0.0    ,   lowercase__					:	str=0.0    ,   lowercase__					:	List[str]=True    ,   lowercase__					:	Tuple="relu"    ,   lowercase__					:	Optional[int]=2_5_6    ,   lowercase__					:	Any=0.1    ,   lowercase__					:	Any=0.0    ,   lowercase__					:	List[Any]=0.0    ,   lowercase__					:	Tuple=0.0_2    ,   lowercase__					:	int=1.0    ,   lowercase__					:	Optional[Any]=False    ,   lowercase__					:	Tuple="sine"    ,   lowercase__					:	Dict="resnet50"    ,   lowercase__					:	Tuple=True    ,   lowercase__					:	Dict=False    ,   lowercase__					:	int=2    ,   lowercase__					:	List[Any]=5    ,   lowercase__					:	Tuple=2    ,   lowercase__					:	Tuple=1    ,   lowercase__					:	Dict=1    ,   lowercase__					:	List[Any]=2    ,   lowercase__					:	Optional[int]=5    ,   lowercase__					:	Any=2    ,   lowercase__					:	List[str]=0.2_5    ,   **lowercase__					:	Optional[Any]    ,   ):
						if backbone_config is not None and use_timm_backbone:
								raise ValueError("You can't specify both `backbone_config` and `use_timm_backbone`."						)

						if not use_timm_backbone:
								if backbone_config is None:
										logger.info("`backbone_config` is `None`. Initializing the config with the default `ResNet` backbone."						)
										__lowercase				:		Union[str, Any]												=				CONFIG_MAPPING["resnet"](out_features=["stage4"]						)
								elif isinstance(lowercase__    ,   lowercase__						):
										__lowercase				:		Union[str, Any]												=				backbone_config.get("model_type"						)
										__lowercase				:		int												=				CONFIG_MAPPING[backbone_model_type]
										__lowercase				:		Optional[Any]												=				config_class.from_dict(lowercase__						)

						__lowercase				:		Dict												=				use_timm_backbone
						__lowercase				:		Any												=				backbone_config
						__lowercase				:		List[str]												=				num_channels
						__lowercase				:		List[Any]												=				num_queries
						__lowercase				:		Optional[int]												=				d_model
						__lowercase				:		int												=				encoder_ffn_dim
						__lowercase				:		Tuple												=				encoder_layers
						__lowercase				:		int												=				encoder_attention_heads
						__lowercase				:		str												=				decoder_ffn_dim
						__lowercase				:		Any												=				decoder_layers
						__lowercase				:		Any												=				decoder_attention_heads
						__lowercase				:		int												=				dropout
						__lowercase				:		int												=				attention_dropout
						__lowercase				:		int												=				activation_dropout
						__lowercase				:		Tuple												=				activation_function
						__lowercase				:		str												=				init_std
						__lowercase				:		int												=				init_xavier_std
						__lowercase				:		Dict												=				encoder_layerdrop
						__lowercase				:		int												=				decoder_layerdrop
						__lowercase				:		Union[str, Any]												=				encoder_layers
						__lowercase				:		Union[str, Any]												=				auxiliary_loss
						__lowercase				:		Optional[Any]												=				position_embedding_type
						__lowercase				:		Any												=				backbone
						__lowercase				:		Dict												=				use_pretrained_backbone
						__lowercase				:		Any												=				dilation
						# Hungarian matcher
						__lowercase				:		List[Any]												=				class_cost
						__lowercase				:		Optional[int]												=				bbox_cost
						__lowercase				:		str												=				giou_cost
						# Loss coefficients
						__lowercase				:		Any												=				mask_loss_coefficient
						__lowercase				:		Optional[int]												=				dice_loss_coefficient
						__lowercase				:		Tuple												=				cls_loss_coefficient
						__lowercase				:		Optional[int]												=				bbox_loss_coefficient
						__lowercase				:		Optional[Any]												=				giou_loss_coefficient
						__lowercase				:		Tuple												=				focal_alpha
						super().__init__(is_encoder_decoder=lowercase__    ,   **lowercase__						)



				@property
				def       snake_case    (     self					:	List[str]						):
						return self.encoder_attention_heads



				@property
				def       snake_case    (     self					:	Any						):
						return self.d_model



				def       snake_case    (     self					:	List[str]						):
						__lowercase				:		Union[str, Any]												=				copy.deepcopy(self.__dict__						)
						if self.backbone_config is not None:
								__lowercase				:		str												=				self.backbone_config.to_dict()
						__lowercase				:		Any												=				self.__class__.model_type
						return output





class       lowerCAmelCase__       (			lowerCAmelCase_    ):


				"""simple docstring"""





				__UpperCAmelCase :     Dict       =      version.parse("1.11"    )



				@property
				def       snake_case    (     self					:	List[str]						):
						return OrderedDict(
						    [
						        ("pixel_values", {0: "batch", 1: "num_channels", 2: "height", 3: "width"}),
						        ("pixel_mask", {0: "batch"}),
						    ]						)



				@property
				def       snake_case    (     self					:	Optional[Any]						):
						return 1e-5



				@property
				def       snake_case    (     self					:	Any						):
						return 1_2










"""simple docstring"""







class       lowerCAmelCase__       :


				"""simple docstring"""





				def __init__(     self					:	int    ,   lowercase__					:	List[Any]						):
						__lowercase				:		Tuple												=				val
						__lowercase				:		Optional[Any]												=				None
						__lowercase				:		Tuple												=				None



				def       snake_case    (     self					:	Optional[Any]    ,   lowercase__					:	List[str]						):
						if self.val:
								if val < self.val:
										if self.left is None:
												__lowercase				:		Tuple												=				Node(lowercase__						)
										else:
												self.left.insert(lowercase__						)
								elif val > self.val:
										if self.right is None:
												__lowercase				:		Any												=				Node(lowercase__						)
										else:
												self.right.insert(lowercase__						)
						else:
								__lowercase				:		Optional[Any]												=				val





def 						snake_case__       (					_lowerCamelCase,  _lowerCamelCase				)			->Any:






		"""simple docstring"""


		if root:
				inorder(root.left,  _lowerCamelCase				)
				res.append(root.val				)
				inorder(root.right,  _lowerCamelCase				)

def 						snake_case__       (					_lowerCamelCase				)			->Optional[Any]:






		"""simple docstring"""


		if len(_lowerCamelCase				) == 0:
				return arr
		__lowercase				:		int												=				Node(arr[0]				)
		for i in range(1,  len(_lowerCamelCase				)				):
				root.insert(arr[i]				)
		# Traverse BST in order.
		__lowercase				:		Tuple												=				[]
		inorder(_lowerCamelCase,  _lowerCamelCase				)
		return res


if __name__ == "__main__":
						print(tree_sort([1_0, 1, 3, 2, 9, 1_4, 1_3]))
