
import copy

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


lowercase  :					str													=       logging.get_logger(__name__)




class  lowerCamelCase__							(				__lowercase):




	'''simple docstring'''




	_A								=     'upernet'







	def __init__(					self		:Any     ,   a		:Union[str, Any]=None     ,   a		:str=5_1_2     ,   a		:Any=0.02     ,   a		:Union[str, Any]=[1, 2, 3, 6]     ,   a		:int=True     ,   a		:str=0.4     ,   a		:Optional[Any]=3_8_4     ,   a		:List[Any]=2_5_6     ,   a		:Any=1     ,   a		:Any=False     ,   a		:Union[str, Any]=2_5_5     ,   **a		:Any     ,   )		-> Dict:
								super().__init__(**a						)

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

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







	def    _lowerCamelCase				(					self		:List[str]						)		-> Tuple:
								__UpperCamelCase	:   int			   =					copy.deepcopy(self.__dict__						)
								__UpperCamelCase	:   Any			   =					self.backbone_config.to_dict()
								__UpperCamelCase	:   Any			   =					self.__class__.model_type
								return output

from __future__ import annotations




def 	_SCREAMING_SNAKE_CASE					(		_lowerCamelCase :			list[list[int]])					->    bool:






							'''simple docstring'''





							__UpperCamelCase	:   Any			   =					len(_lowerCamelCase)
							# We need to create solution object to save path.
							__UpperCamelCase	:   List[str]			   =					[[0 for _ in range(_lowerCamelCase)] for _ in range(_lowerCamelCase)]
							__UpperCamelCase	:   Optional[int]			   =					run_maze(_lowerCamelCase						,  0						,  0						,  _lowerCamelCase)
							if solved:
														print("\n".join(str(_lowerCamelCase) for row in solutions))
							else:
														print("No solution exists!")
							return solved




def 	_SCREAMING_SNAKE_CASE					(		_lowerCamelCase :			list[list[int]]						,  _lowerCamelCase :			int						,  _lowerCamelCase :			int						,  _lowerCamelCase :			list[list[int]])					->    bool:






							'''simple docstring'''





							__UpperCamelCase	:   Tuple			   =					len(_lowerCamelCase)
							# Final check point.
							if i == j == (size - 1):
														__UpperCamelCase	:   Optional[int]			   =					1
														return True

							__UpperCamelCase	:   List[Any]			   =					(not i < 0) and (not j < 0)  # Check lower bounds
							__UpperCamelCase	:   List[str]			   =					(i < size) and (j < size)  # Check upper bounds

							if lower_flag and upper_flag:
														# check for already visited and block points.
														__UpperCamelCase	:   int			   =					(not solutions[i][j]) and (not maze[i][j])
														if block_flag:
																					# check visited
																					__UpperCamelCase	:   Tuple			   =					1

																					# check for directions
																					if (
																					    run_maze(_lowerCamelCase						,  i + 1						,  _lowerCamelCase						,  _lowerCamelCase)
																					    or run_maze(_lowerCamelCase						,  _lowerCamelCase						,  j + 1						,  _lowerCamelCase)
																					    or run_maze(_lowerCamelCase						,  i - 1						,  _lowerCamelCase						,  _lowerCamelCase)
																					    or run_maze(_lowerCamelCase						,  _lowerCamelCase						,  j - 1						,  _lowerCamelCase)
																					):
																												return True

																					__UpperCamelCase	:   Tuple			   =					0
																					return False
							return False


if __name__ == "__main__":
		import doctest

		doctest.testmod()