import copy

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


_lowercase:	Optional[Any]       			=		logging.get_logger(__name__)



class        lowerCamelCase__				(   UpperCAmelCase				):
			UpperCamelCase__    							="upernet"





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

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

										_lowerCAmelCase							=							backbone_config
										_lowerCAmelCase							=							hidden_size
										_lowerCAmelCase							=							initializer_range
										_lowerCAmelCase							=							pool_scales
										_lowerCAmelCase							=							use_auxiliary_head
										_lowerCAmelCase							=							auxiliary_loss_weight
										_lowerCAmelCase							=							auxiliary_in_channels
										_lowerCAmelCase							=							auxiliary_channels
										_lowerCAmelCase							=							auxiliary_num_convs
										_lowerCAmelCase							=							auxiliary_concat_input
										_lowerCAmelCase							=							loss_ignore_index





			def   SCREAMING_SNAKE_CASE__     (       self	:	Tuple						):
										_lowerCAmelCase							=							copy.deepcopy(self.__dict__						)
										_lowerCAmelCase							=							self.backbone_config.to_dict()
										_lowerCAmelCase							=							self.__class__.model_type
										return output







def _lowerCamelCase  (		snake_case  ):
							assert (
							    isinstance(snake_case     , snake_case  ) and number_of_steps > 0
							), F'number_of_steps needs to be positive integer, your input {number_of_steps}'
							if number_of_steps == 1:
														return 1
							_lowerCAmelCase			,		_lowerCAmelCase							=							1, 1
							for _ in range(number_of_steps - 1  ):
														_lowerCAmelCase			,		_lowerCAmelCase							=							current + previous, current
							return current


if __name__ == "__main__":
				import doctest

				doctest.testmod()






