





'''simple docstring'''

import copy

from ...configuration_utils import PretrainedConfig
from ...utils import logging
from ..auto import CONFIG_MAPPING


__lowerCamelCase : Any											=			logging.get_logger(__name__)

__lowerCamelCase : Any											=			{
    "SenseTime/deformable-detr": "https://huggingface.co/sensetime/deformable-detr/resolve/main/config.json",
    # See all Deformable DETR models at https://huggingface.co/models?filter=deformable-detr
}

class       UpperCAmelCase (						_lowercase  ):
		UpperCAmelCase					:	Dict 			=		'''deformable_detr'''
		UpperCAmelCase					:	List[str] 			=		{
		    '''hidden_size''': '''d_model''',
		    '''num_attention_heads''': '''encoder_attention_heads''',
		}




		def __init__(self      :	int							,			A__      :	Optional[Any]=True							,			A__      :	Tuple=None							,			A__      :	str=3							,			A__      :	Optional[Any]=3_0_0							,			A__      :	List[Any]=1_0_2_4							,			A__      :	str=6							,			A__      :	List[Any]=1_0_2_4							,			A__      :	Union[str, Any]=8							,			A__      :	str=6							,			A__      :	Dict=1_0_2_4							,			A__      :	List[str]=8							,			A__      :	Tuple=0.0							,			A__      :	Any=True							,			A__      :	List[str]="relu"							,			A__      :	Tuple=2_5_6							,			A__      :	List[str]=0.1							,			A__      :	List[Any]=0.0							,			A__      :	str=0.0							,			A__      :	str=0.0_2							,			A__      :	Tuple=1.0							,			A__      :	Union[str, Any]=True							,			A__      :	List[Any]=False							,			A__      :	Union[str, Any]="sine"							,			A__      :	Optional[Any]="resnet50"							,			A__      :	List[str]=True							,			A__      :	Tuple=False							,			A__      :	int=4							,			A__      :	Tuple=4							,			A__      :	List[Any]=4							,			A__      :	Any=False							,			A__      :	Any=3_0_0							,			A__      :	Optional[Any]=False							,			A__      :	str=1							,			A__      :	List[str]=5							,			A__      :	Dict=2							,			A__      :	Tuple=1							,			A__      :	int=1							,			A__      :	List[str]=5							,			A__      :	List[str]=2							,			A__      :	Tuple=0.1							,			A__      :	int=0.2_5							,			A__      :	Optional[Any]=False							,			**A__      :	Optional[Any]							,			)					-> Tuple:
						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         = CONFIG_MAPPING["resnet"](out_features=["stage4"]				)
										elif isinstance(A__							,			A__				):
														lowercase         = backbone_config.get("model_type"				)
														lowercase         = CONFIG_MAPPING[backbone_model_type]
														lowercase         = config_class.from_dict(A__				)
						lowercase         = use_timm_backbone
						lowercase         = backbone_config
						lowercase         = num_channels
						lowercase         = num_queries
						lowercase         = max_position_embeddings
						lowercase         = d_model
						lowercase         = encoder_ffn_dim
						lowercase         = encoder_layers
						lowercase         = encoder_attention_heads
						lowercase         = decoder_ffn_dim
						lowercase         = decoder_layers
						lowercase         = decoder_attention_heads
						lowercase         = dropout
						lowercase         = attention_dropout
						lowercase         = activation_dropout
						lowercase         = activation_function
						lowercase         = init_std
						lowercase         = init_xavier_std
						lowercase         = encoder_layerdrop
						lowercase         = auxiliary_loss
						lowercase         = position_embedding_type
						lowercase         = backbone
						lowercase         = use_pretrained_backbone
						lowercase         = dilation
						# deformable attributes
						lowercase         = num_feature_levels
						lowercase         = encoder_n_points
						lowercase         = decoder_n_points
						lowercase         = two_stage
						lowercase         = two_stage_num_proposals
						lowercase         = with_box_refine
						if two_stage is True and with_box_refine is False:
										raise ValueError("If two_stage is True, with_box_refine must be True."				)
						# Hungarian matcher
						lowercase         = class_cost
						lowercase         = bbox_cost
						lowercase         = giou_cost
						# Loss coefficients
						lowercase         = mask_loss_coefficient
						lowercase         = dice_loss_coefficient
						lowercase         = bbox_loss_coefficient
						lowercase         = giou_loss_coefficient
						lowercase         = eos_coefficient
						lowercase         = focal_alpha
						lowercase         = disable_custom_kernels
						super().__init__(is_encoder_decoder=A__							,			**A__				)




		@property
		def 				UpperCAmelCase__   (self      :	Tuple				)					-> int:
						return self.encoder_attention_heads




		@property
		def 				UpperCAmelCase__   (self      :	List[str]				)					-> int:
						return self.d_model





		def 				UpperCAmelCase__   (self      :	Optional[Any]				)					-> int:
						lowercase         = copy.deepcopy(self.__dict__				)
						if self.backbone_config is not None:
										lowercase         = self.backbone_config.to_dict()
						lowercase         = self.__class__.model_type
						return output











'''simple docstring'''

__lowerCamelCase : str											=			8.314_4598







def 							UpperCAmelCase_    (	lowerCAmelCase_		,							lowerCAmelCase_							):

				"""simple docstring"""






				if temperature < 0:
								raise Exception("Temperature cannot be less than 0 K"							)
				if molar_mass <= 0:
								raise Exception("Molar mass cannot be less than or equal to 0 kg/mol"							)
				else:
								return (3 * UNIVERSAL_GAS_CONSTANT * temperature / molar_mass) ** 0.5


if __name__ == "__main__":
			import doctest

			# run doctest
			doctest.testmod()

			# example
			__lowerCamelCase : Optional[Any]											=			300
			__lowerCamelCase : Tuple											=			28
			__lowerCamelCase : str											=			rms_speed_of_molecule(temperature, molar_mass)
			print(f"Vrms of Nitrogen gas at 300 K is {vrms} m/s")




