



"""simple docstring"""






import copy

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


_lowercase				:				Union[str, Any]   		=		logging.get_logger(__name__)

class  __SCREAMING_SNAKE_CASE			(   lowerCAmelCase_     ):


					'''simple docstring'''





					_a         =							'upernet'



					def __init__( self							:						Optional[Any],						lowerCamelCase							:						Any=None,						lowerCamelCase							:						List[Any]=512,						lowerCamelCase							:						Any=0.02,						lowerCamelCase							:						Any=[1, 2, 3, 6],						lowerCamelCase							:						int=True,						lowerCamelCase							:						Any=0.4,						lowerCamelCase							:						Tuple=384,						lowerCamelCase							:						Tuple=256,						lowerCamelCase							:						int=1,						lowerCamelCase							:						Any=False,						lowerCamelCase							:						List[str]=255,						**lowerCamelCase							:						Optional[Any],						)->      Tuple:
								super().__init__(**lowerCamelCase  )

								if backbone_config is None:
											logger.info('''`backbone_config` is `None`. Initializing the config with the default `ResNet` backbone.'''  )
											lowerCamelCase__	:	Optional[Any]				=CONFIG_MAPPING['''resnet'''](out_features=['''stage1''', '''stage2''', '''stage3''', '''stage4''']  )
								elif isinstance(lowerCamelCase,						lowerCamelCase  ):
											lowerCamelCase__	:	Union[str, Any]				=backbone_config.get('''model_type'''  )
											lowerCamelCase__	:	Optional[Any]				=CONFIG_MAPPING[backbone_model_type]
											lowerCamelCase__	:	List[str]				=config_class.from_dict(lowerCamelCase  )

								lowerCamelCase__	:	int				=backbone_config
								lowerCamelCase__	:	Any				=hidden_size
								lowerCamelCase__	:	int				=initializer_range
								lowerCamelCase__	:	Tuple				=pool_scales
								lowerCamelCase__	:	Optional[int]				=use_auxiliary_head
								lowerCamelCase__	:	int				=auxiliary_loss_weight
								lowerCamelCase__	:	List[Any]				=auxiliary_in_channels
								lowerCamelCase__	:	Tuple				=auxiliary_channels
								lowerCamelCase__	:	Tuple				=auxiliary_num_convs
								lowerCamelCase__	:	List[Any]				=auxiliary_concat_input
								lowerCamelCase__	:	Dict				=loss_ignore_index




					def 	snake_case ( self							:						Tuple  )->      Optional[Any]:
								lowerCamelCase__	:	List[str]				=copy.deepcopy(self.__dict__  )
								lowerCamelCase__	:	Union[str, Any]				=self.backbone_config.to_dict()
								lowerCamelCase__	:	str				=self.__class__.model_type
								return output









"""simple docstring"""






_lowercase				:				str   		=		0  # The first color of the flag.
_lowercase				:				Dict   		=		1  # The second color of the flag.
_lowercase				:				Tuple   		=		2  # The third color of the flag.
_lowercase				:				Optional[int]   		=		(red, white, blue)






def   snake_case__     (	__lowerCamelCase       :					list			):
			"""simple docstring"""
			if not sequence:
						return []
			if len(__lowerCamelCase			) == 1:
						return list(__lowerCamelCase			)
			lowerCamelCase__	:	List[Any]				=0
			lowerCamelCase__	:	Dict				=len(__lowerCamelCase			) - 1
			lowerCamelCase__	:	Tuple				=0
			while mid <= high:
						if sequence[mid] == colors[0]:
									lowerCamelCase__			,     lowerCamelCase__	:	Optional[Any]				=sequence[mid], sequence[low]
									low += 1
									mid += 1
						elif sequence[mid] == colors[1]:
									mid += 1
						elif sequence[mid] == colors[2]:
									lowerCamelCase__			,     lowerCamelCase__	:	Union[str, Any]				=sequence[high], sequence[mid]
									high -= 1
						else:
									lowerCamelCase__	:	Dict				=f'''The elements inside the sequence must contains only {colors} values'''
									raise ValueError(__lowerCamelCase			)
			return sequence


if __name__ == "__main__":
		import doctest

		doctest.testmod()

		_lowercase				:				Optional[Any]   		=		input("Enter numbers separated by commas:\n").strip()
		_lowercase				:				int   		=		[int(item.strip()) for item in user_input.split(",")]
		print(f'{dutch_national_flag_sort(unsorted)}')




