"""simple docstring"""






import copy

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


lowerCAmelCase__  :  Optional[int]						     =	logging.get_logger(__name__)
class 				snake_case       ( __UpperCAmelCase				):




					"""simple docstring"""

					snake_case__				    = "upernet"







					def __init__(				self   :	int    ,lowerCamelCase__   :	Any=None    ,lowerCamelCase__   :	List[Any]=512    ,lowerCamelCase__   :	str=0.0_2    ,lowerCamelCase__   :	List[Any]=[1, 2, 3, 6]    ,lowerCamelCase__   :	Optional[Any]=True    ,lowerCamelCase__   :	Optional[Any]=0.4    ,lowerCamelCase__   :	int=384    ,lowerCamelCase__   :	int=256    ,lowerCamelCase__   :	int=1    ,lowerCamelCase__   :	Optional[int]=False    ,lowerCamelCase__   :	Union[str, Any]=255    ,**lowerCamelCase__   :	str    ,):
									super().__init__(**lowerCamelCase__			)

									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=['stage1', 'stage2', 'stage3', 'stage4']			)
									elif isinstance(lowerCamelCase__    ,lowerCamelCase__			):
													UpperCAmelCase__             =							backbone_config.get('model_type'			)
													UpperCAmelCase__             =							CONFIG_MAPPING[backbone_model_type]
													UpperCAmelCase__             =							config_class.from_dict(lowerCamelCase__			)

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







					def 		__lowerCAmelCase						(				self   :	Optional[Any]			):
									UpperCAmelCase__             =							copy.deepcopy(self.__dict__			)
									UpperCAmelCase__             =							self.backbone_config.to_dict()
									UpperCAmelCase__             =							self.__class__.model_type
									return output




"""simple docstring"""






import functools



def   a_						(					lowerCamelCase					,			lowerCamelCase       ):
				UpperCAmelCase__             =							len(lowerCamelCase       )
				UpperCAmelCase__             =							len(lowerCamelCase       )

				@functools.cache
				def min_distance(lowerCamelCase					,			lowerCamelCase       ) -> int:
								# if first word index is overflow - delete all from the second word
								if indexa >= len_worda:
												return len_worda - indexa
								# if second word index is overflow - delete all from the first word
								if indexa >= len_worda:
												return len_worda - indexa
								UpperCAmelCase__             =							int(worda[indexa] != worda[indexa]       )  # current letters not identical
								return min(
								    1 + min_distance(indexa + 1					,			lowerCamelCase       )					,			1 + min_distance(lowerCamelCase					,			indexa + 1       )					,			diff + min_distance(indexa + 1					,			indexa + 1       )					,			)

				return min_distance(0					,			0       )


if __name__ == "__main__":
						import doctest

						doctest.testmod()



