



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


UpperCAmelCase__     = logging.get_logger(__name__)

UpperCAmelCase__     = {
    '''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     __lowerCAmelCase					(    a__		):
			UpperCamelCase           =  """yolos"""



			def __init__(		self     :						str				,	A     :						List[str]=7_68				,	A     :						Optional[int]=12				,	A     :						List[Any]=12				,	A     :						Union[str, Any]=30_72				,	A     :						Optional[int]="gelu"				,	A     :						Tuple=0.0				,	A     :						List[Any]=0.0				,	A     :						Dict=0.0_2				,	A     :						Any=1E-12				,	A     :						Optional[Any]=[5_12, 8_64]				,	A     :						Dict=16				,	A     :						int=3				,	A     :						Tuple=True				,	A     :						Tuple=1_00				,	A     :						List[str]=True				,	A     :						Dict=False				,	A     :						Optional[Any]=1				,	A     :						Dict=5				,	A     :						Optional[int]=2				,	A     :						List[Any]=5				,	A     :						int=2				,	A     :						str=0.1				,	**A     :						Optional[int]				,	)     ->					Union[str, Any]:



						"""simple docstring"""






						super().__init__(**lowerCAmelCase__)

						_UpperCAmelCase	 =     hidden_size
						_UpperCAmelCase	 =     num_hidden_layers
						_UpperCAmelCase	 =     num_attention_heads
						_UpperCAmelCase	 =     intermediate_size
						_UpperCAmelCase	 =     hidden_act
						_UpperCAmelCase	 =     hidden_dropout_prob
						_UpperCAmelCase	 =     attention_probs_dropout_prob
						_UpperCAmelCase	 =     initializer_range
						_UpperCAmelCase	 =     layer_norm_eps
						_UpperCAmelCase	 =     image_size
						_UpperCAmelCase	 =     patch_size
						_UpperCAmelCase	 =     num_channels
						_UpperCAmelCase	 =     qkv_bias
						_UpperCAmelCase	 =     num_detection_tokens
						_UpperCAmelCase	 =     use_mid_position_embeddings
						_UpperCAmelCase	 =     auxiliary_loss
						# Hungarian matcher
						_UpperCAmelCase	 =     class_cost
						_UpperCAmelCase	 =     bbox_cost
						_UpperCAmelCase	 =     giou_cost
						# Loss coefficients
						_UpperCAmelCase	 =     bbox_loss_coefficient
						_UpperCAmelCase	 =     giou_loss_coefficient
						_UpperCAmelCase	 =     eos_coefficient







class     __lowerCAmelCase					(    a__		):
			UpperCamelCase           =  version.parse('''1.11'''		)



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



						"""simple docstring"""






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



			@property
			def 					_lowerCamelCase (		self     :						int)     ->					float:



						"""simple docstring"""






						return 1E-4



			@property
			def 					_lowerCamelCase (		self     :						List[str])     ->					int:



						"""simple docstring"""






						return 12





def 							A			(  _UpperCAmelCase       :     int							,     _UpperCAmelCase       :     int					)       ->				str:







			'''simple docstring'''
			if a < 0 or b < 0:
						raise ValueError('the value of both inputs must be positive'					)

			_UpperCAmelCase	 =     str(bin(_UpperCAmelCase					)					)[2:]  # remove the leading "0b"
			_UpperCAmelCase	 =     str(bin(_UpperCAmelCase					)					)[2:]  # remove the leading "0b"

			_UpperCAmelCase	 =     max(len(_UpperCAmelCase					)							,     len(_UpperCAmelCase					)					)

			return "0b" + "".join(
			    str(int(char_a != char_b					)					)
			    for char_a, char_b in zip(a_binary.zfill(_UpperCAmelCase					)							,     b_binary.zfill(_UpperCAmelCase					)					)					)


if __name__ == "__main__":
							import doctest

							doctest.testmod()
