


from __future__ import annotations





def   _lowerCAmelCase				(   UpperCamelCase__:     tuple[int, int]							,					UpperCamelCase__:     int						) ->   list[tuple[int, int]]:





	"""simple docstring"""







	A					,			A								=				position
	A								=				[
	    (y + 1, x + 2),
	    (y - 1, x + 2),
	    (y + 1, x - 2),
	    (y - 1, x - 2),
	    (y + 2, x + 1),
	    (y + 2, x - 1),
	    (y - 2, x + 1),
	    (y - 2, x - 1),
	]
	A								=				[]

	for position in positions:
		A					,			A								=				position
		if 0 <= y_test < n and 0 <= x_test < n:
			permissible_positions.append(UpperCamelCase__						)

	return permissible_positions





def   _lowerCAmelCase				(   UpperCamelCase__:     list[list[int]]						) ->   bool:





	"""simple docstring"""







	return not any(elem == 0 for row in board for elem in row						)





def   _lowerCAmelCase				(   UpperCamelCase__:     list[list[int]]							,					UpperCamelCase__:     tuple[int, int]							,					UpperCamelCase__:     int						) ->   bool:





	"""simple docstring"""







	if is_complete(UpperCamelCase__						):
		return True

	for position in get_valid_pos(UpperCamelCase__							,					len(UpperCamelCase__						)						):
		A					,			A								=				position

		if board[y][x] == 0:
			A								=				curr + 1
			if open_knight_tour_helper(UpperCamelCase__							,					UpperCamelCase__							,					curr + 1						):
				return True
			A								=				0

	return False





def   _lowerCAmelCase				(   UpperCamelCase__:     int						) ->   list[list[int]]:





	"""simple docstring"""







	A								=				[[0 for i in range(UpperCamelCase__						)] for j in range(UpperCamelCase__						)]

	for i in range(UpperCamelCase__						):
		for j in range(UpperCamelCase__						):
			A								=				1
			if open_knight_tour_helper(UpperCamelCase__							,					(i, j)							,					1						):
				return board
			A								=				0

	A								=				f'Open Kight Tour cannot be performed on a board of size {n}'
	raise ValueError(UpperCamelCase__						)


if __name__ == "__main__":
				import doctest

				doctest.testmod()







import copy

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


_lowercase       :      int	=	logging.get_logger(__name__)






class       _UpperCamelCase    (					__snake_case				):

				"""simple docstring"""







				lowerCAmelCase 		= 'upernet'

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

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

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

				def      _UpperCAmelCase					(						self   )	->				Dict:
					A								=				copy.deepcopy(self.__dict__   )
					A								=				self.backbone_config.to_dict()
					A								=				self.__class__.model_type
					return output



