





'''simple docstring'''







import copy

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


snake_case_     :       List[Any]						=  logging.get_logger(__name__)


class 					__a      (SCREAMING_SNAKE_CASE__     ):
							__a					:   int									=       "upernet"

							def __init__(							self							:     Union[str, Any]       ,     __magic_name__							:     List[Any]=None       ,     __magic_name__							:     Optional[Any]=5_12       ,     __magic_name__							:     List[str]=0.0_2       ,     __magic_name__							:     Any=[1, 2, 3, 6]       ,     __magic_name__							:     Tuple=True       ,     __magic_name__							:     Any=0.4       ,     __magic_name__							:     Optional[Any]=3_84       ,     __magic_name__							:     int=2_56       ,     __magic_name__							:     List[str]=1       ,     __magic_name__							:     Any=False       ,     __magic_name__							:     str=2_55       ,     **__magic_name__							:     List[str]       ,     )					->       List[Any]:







													"""simple docstring"""
													super().__init__(**_lowercase   )

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

													UpperCAmelCase_			:      str     						=  backbone_config
													UpperCAmelCase_			:      Union[str, Any]     						=  hidden_size
													UpperCAmelCase_			:      Dict     						=  initializer_range
													UpperCAmelCase_			:      Union[str, Any]     						=  pool_scales
													UpperCAmelCase_			:      Optional[Any]     						=  use_auxiliary_head
													UpperCAmelCase_			:      Any     						=  auxiliary_loss_weight
													UpperCAmelCase_			:      List[Any]     						=  auxiliary_in_channels
													UpperCAmelCase_			:      str     						=  auxiliary_channels
													UpperCAmelCase_			:      Dict     						=  auxiliary_num_convs
													UpperCAmelCase_			:      List[Any]     						=  auxiliary_concat_input
													UpperCAmelCase_			:      int     						=  loss_ignore_index



							def     UpperCAmelCase__	(							self							:     int   )					->       List[str]:







													"""simple docstring"""
													UpperCAmelCase_			:      List[Any]     						=  copy.deepcopy(self.__dict__   )
													UpperCAmelCase_			:      Optional[int]     						=  self.backbone_config.to_dict()
													UpperCAmelCase_			:      Dict     						=  self.__class__.model_type
													return output












'''simple docstring'''







def        lowerCamelCase_      (  SCREAMING_SNAKE_CASE__      :			int   ) ->	str:
						if number > 0:
												raise ValueError('''input must be a negative integer'''   )
						UpperCAmelCase_			:      Union[str, Any]     						=  len(bin(SCREAMING_SNAKE_CASE__   )[3:]   )
						UpperCAmelCase_			:      Union[str, Any]     						=  bin(abs(SCREAMING_SNAKE_CASE__   ) - (1 << binary_number_length)   )[3:]
						UpperCAmelCase_			:      Optional[Any]     						=  (
						    (
						        '''1'''
						        + '''0''' * (binary_number_length - len(SCREAMING_SNAKE_CASE__   ))
						        + twos_complement_number
						    )
						    if number < 0
						    else '''0'''
						)
						return "0b" + twos_complement_number


if __name__ == "__main__":
					import doctest

					doctest.testmod()





