


'''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


__snake_case				 =	logging.get_logger(__name__)

__snake_case				 =	{
    '''microsoft/conditional-detr-resnet-50''': (
        '''https://huggingface.co/microsoft/conditional-detr-resnet-50/resolve/main/config.json'''
    ),
}
class   lowercase      (				A__   ):

		"""simple docstring"""

		_a       					=							'conditional_detr'
		_a       					=							['past_key_values']
		_a       					=							{
		    'hidden_size': 'd_model',
		    'num_attention_heads': 'encoder_attention_heads',
		}




		def __init__(						self       ,  UpperCamelCase_=True       ,  UpperCamelCase_=None       ,  UpperCamelCase_=3       ,  UpperCamelCase_=300       ,  UpperCamelCase_=6       ,  UpperCamelCase_=2048       ,  UpperCamelCase_=8       ,  UpperCamelCase_=6       ,  UpperCamelCase_=2048       ,  UpperCamelCase_=8       ,  UpperCamelCase_=0.0       ,  UpperCamelCase_=0.0       ,  UpperCamelCase_=True       ,  UpperCamelCase_="relu"       ,  UpperCamelCase_=256       ,  UpperCamelCase_=0.1       ,  UpperCamelCase_=0.0       ,  UpperCamelCase_=0.0       ,  UpperCamelCase_=0.02       ,  UpperCamelCase_=1.0       ,  UpperCamelCase_=False       ,  UpperCamelCase_="sine"       ,  UpperCamelCase_="resnet50"       ,  UpperCamelCase_=True       ,  UpperCamelCase_=False       ,  UpperCamelCase_=2       ,  UpperCamelCase_=5       ,  UpperCamelCase_=2       ,  UpperCamelCase_=1       ,  UpperCamelCase_=1       ,  UpperCamelCase_=2       ,  UpperCamelCase_=5       ,  UpperCamelCase_=2       ,  UpperCamelCase_=0.25       ,  **UpperCamelCase_       ,  ):

							'''simple docstring'''


							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.'''				)
																	UpperCamelCase__  :int				   =					CONFIG_MAPPING['''resnet'''](out_features=['''stage4''']				)
												elif isinstance(UpperCamelCase_       ,  UpperCamelCase_				):
																	UpperCamelCase__  :Tuple				   =					backbone_config.get('''model_type'''				)
																	UpperCamelCase__  :Dict				   =					CONFIG_MAPPING[backbone_model_type]
																	UpperCamelCase__  :Optional[int]				   =					config_class.from_dict(UpperCamelCase_				)

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




		@property
		def        lowerCAmelCase__							(						self				):

							'''simple docstring'''


							return self.encoder_attention_heads




		@property
		def        lowerCAmelCase__							(						self				):

							'''simple docstring'''


							return self.d_model




		def        lowerCAmelCase__							(						self				):

							'''simple docstring'''


							UpperCamelCase__  :str				   =					copy.deepcopy(self.__dict__				)
							if self.backbone_config is not None:
												UpperCamelCase__  :List[str]				   =					self.backbone_config.to_dict()
							UpperCamelCase__  :str				   =					self.__class__.model_type
							return output



class   lowercase      (				A__   ):

		"""simple docstring"""

		_a       					=							version.parse('1.11'   )




		@property
		def        lowerCAmelCase__							(						self				):

							'''simple docstring'''


							return OrderedDict(
							    [
							        ('''pixel_values''', {0: '''batch''', 1: '''num_channels''', 2: '''height''', 3: '''width'''}),
							        ('''pixel_mask''', {0: '''batch'''}),
							    ]				)




		@property
		def        lowerCAmelCase__							(						self				):

							'''simple docstring'''


							return 1e-5




		@property
		def        lowerCAmelCase__							(						self				):

							'''simple docstring'''


							return 12



'''simple docstring'''
from __future__ import annotations

from math import pi, sqrt


def      a (     __a					,   __a  )    ->      tuple:



					'''simple docstring'''






					if inductance <= 0:
										raise ValueError('''Inductance cannot be 0 or negative'''  )

					elif capacitance <= 0:
										raise ValueError('''Capacitance cannot be 0 or negative'''  )

					else:
										return (
										    "Resonant frequency",
										    float(1 / (2 * pi * (sqrt(inductance * capacitance  )))  ),
										)


if __name__ == "__main__":
		import doctest

		doctest.testmod()