
"""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														=		logging.get_logger(__name__)

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






class    _UpperCAmelCase(   lowerCamelCase     ):
		lowercase__      =				'conditional_detr'
		lowercase__      =				['past_key_values']
		lowercase__      =				{
		    'hidden_size': 'd_model',
		    'num_attention_heads': 'encoder_attention_heads',
		}



		def __init__( self    ,		__a=True    ,		__a=None    ,		__a=3    ,		__a=3_00    ,		__a=6    ,		__a=20_48    ,		__a=8    ,		__a=6    ,		__a=20_48    ,		__a=8    ,		__a=0.0    ,		__a=0.0    ,		__a=True    ,		__a="relu"    ,		__a=2_56    ,		__a=0.1    ,		__a=0.0    ,		__a=0.0    ,		__a=0.02    ,		__a=1.0    ,		__a=False    ,		__a="sine"    ,		__a="resnet50"    ,		__a=True    ,		__a=False    ,		__a=2    ,		__a=5    ,		__a=2    ,		__a=1    ,		__a=1    ,		__a=2    ,		__a=5    ,		__a=2    ,		__a=0.25    ,		**__a    ,		)	->	int:






							'''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										=  CONFIG_MAPPING['''resnet'''](out_features=['''stage4'''])
												elif isinstance(__a    ,		__a):
																	_UpperCamelCase										=  backbone_config.get('''model_type''')
																	_UpperCamelCase										=  CONFIG_MAPPING[backbone_model_type]
																	_UpperCamelCase										=  config_class.from_dict(__a)

							_UpperCamelCase										=  use_timm_backbone
							_UpperCamelCase										=  backbone_config
							_UpperCamelCase										=  num_channels
							_UpperCamelCase										=  num_queries
							_UpperCamelCase										=  d_model
							_UpperCamelCase										=  encoder_ffn_dim
							_UpperCamelCase										=  encoder_layers
							_UpperCamelCase										=  encoder_attention_heads
							_UpperCamelCase										=  decoder_ffn_dim
							_UpperCamelCase										=  decoder_layers
							_UpperCamelCase										=  decoder_attention_heads
							_UpperCamelCase										=  dropout
							_UpperCamelCase										=  attention_dropout
							_UpperCamelCase										=  activation_dropout
							_UpperCamelCase										=  activation_function
							_UpperCamelCase										=  init_std
							_UpperCamelCase										=  init_xavier_std
							_UpperCamelCase										=  encoder_layerdrop
							_UpperCamelCase										=  decoder_layerdrop
							_UpperCamelCase										=  encoder_layers
							_UpperCamelCase										=  auxiliary_loss
							_UpperCamelCase										=  position_embedding_type
							_UpperCamelCase										=  backbone
							_UpperCamelCase										=  use_pretrained_backbone
							_UpperCamelCase										=  dilation
							# Hungarian matcher
							_UpperCamelCase										=  class_cost
							_UpperCamelCase										=  bbox_cost
							_UpperCamelCase										=  giou_cost
							# Loss coefficients
							_UpperCamelCase										=  mask_loss_coefficient
							_UpperCamelCase										=  dice_loss_coefficient
							_UpperCamelCase										=  cls_loss_coefficient
							_UpperCamelCase										=  bbox_loss_coefficient
							_UpperCamelCase										=  giou_loss_coefficient
							_UpperCamelCase										=  focal_alpha
							super().__init__(is_encoder_decoder=__a    ,		**__a)



		@property
		def 						UpperCAmelCase							( self)	->	int:






							'''simple docstring'''
							return self.encoder_attention_heads



		@property
		def 						UpperCAmelCase							( self)	->	int:






							'''simple docstring'''
							return self.d_model




		def 						UpperCAmelCase							( self)	->	Optional[int]:






							'''simple docstring'''
							_UpperCamelCase										=  copy.deepcopy(self.__dict__)
							if self.backbone_config is not None:
												_UpperCamelCase										=  self.backbone_config.to_dict()
							_UpperCamelCase										=  self.__class__.model_type
							return output






class    _UpperCAmelCase(   lowerCamelCase     ):
		lowercase__      =				version.parse('1.11'     )



		@property
		def 						UpperCAmelCase							( self)	->	Mapping[str, Mapping[int, str]]:






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



		@property
		def 						UpperCAmelCase							( self)	->	float:






							'''simple docstring'''
							return 1e-5




		@property
		def 						UpperCAmelCase							( self)	->	int:






							'''simple docstring'''
							return 12








"""simple docstring"""





def 				lowerCamelCase__		(      __snake_case,					__snake_case     )							->		str:


					"""simple docstring"""





					if number < 0 or shift_amount < 0:
										raise ValueError('''both inputs must be positive integers'''     )

					_UpperCamelCase										=  str(bin(__snake_case     )     )
					binary_number += "0" * shift_amount
					return binary_number



def 				lowerCamelCase__		(      __snake_case,					__snake_case     )							->		str:


					"""simple docstring"""





					if number < 0 or shift_amount < 0:
										raise ValueError('''both inputs must be positive integers'''     )

					_UpperCamelCase										=  str(bin(__snake_case     )     )[2:]
					if shift_amount >= len(__snake_case     ):
										return "0b0"
					_UpperCamelCase										=  binary_number[: len(__snake_case     ) - shift_amount]
					return "0b" + shifted_binary_number



def 				lowerCamelCase__		(      __snake_case,					__snake_case     )							->		str:


					"""simple docstring"""





					if number >= 0:  # Get binary representation of positive number
										_UpperCamelCase										=  '''0''' + str(bin(__snake_case     )     ).strip('''-'''     )[2:]
					else:  # Get binary (2's complement) representation of negative number
										_UpperCamelCase										=  len(bin(__snake_case     )[3:]     )  # Find 2's complement of number
										_UpperCamelCase										=  bin(abs(__snake_case     ) - (1 << binary_number_length)     )[3:]
										_UpperCamelCase										=  (
										    '''1''' + '''0''' * (binary_number_length - len(__snake_case     )) + binary_number
										)

					if shift_amount >= len(__snake_case     ):
										return "0b" + binary_number[0] * len(__snake_case     )
					return (
					    "0b"
					    + binary_number[0] * shift_amount
					    + binary_number[: len(__snake_case     ) - shift_amount]
					)


if __name__ == "__main__":
				import doctest

				doctest.testmod()






