

"""simple docstring"""




from __future__ import annotations

def 	A       (     snake_case__		,				snake_case__		,				snake_case__		,				snake_case__		,				snake_case__		,				):




			'''simple docstring'''


			SCREAMING_SNAKE_CASE__								=      len(snake_case__    )

			# If row is equal to the size of the board it means there are a queen in each row in
			# the current board (possible_board)
			if row == n:
						# We convert the variable possible_board that looks like this: [1, 3, 0, 2] to
						# this: ['. Q . . ', '. . . Q ', 'Q . . . ', '. . Q . ']
						boards.append([""". """ * i + """Q """ + """. """ * (n - 1 - i) for i in possible_board]    )
						return

			# We iterate each column in the row to find all possible results in each row
			for col in range(snake_case__    ):
						# We apply that we learned previously. First we check that in the current board
						# (possible_board) there are not other same value because if there is it means
						# that there are a collision in vertical. Then we apply the two formulas we
						# learned before:
						#
						# 45º: y - x = b or 45: row - col = b
						# 135º: y + x = b or row + col = b.
						#
						# And we verify if the results of this two formulas not exist in their variables
						# respectively.  (diagonal_right_collisions, diagonal_left_collisions)
						#
						# If any or these are True it means there is a collision so we continue to the
						# next value in the for loop.
						if (
						    col in possible_board
						    or row - col in diagonal_right_collisions
						    or row + col in diagonal_left_collisions
						):
									continue

						# If it is False we call dfs function again and we update the inputs
						depth_first_search(
						    [*possible_board, col]		,				[*diagonal_right_collisions, row - col]		,				[*diagonal_left_collisions, row + col]		,				snake_case__		,				snake_case__		,				)

def 	A       (     snake_case__    ):




			'''simple docstring'''


			SCREAMING_SNAKE_CASE__								=      []
			depth_first_search([]		,				[]		,				[]		,				snake_case__		,				snake_case__    )

			# Print all the boards
			for board in boards:
						for column in board:
									print(snake_case__    )
						print(""""""    )

			print(len(snake_case__    )		,				"""solutions were found."""    )


if __name__ == "__main__":
						import doctest

						doctest.testmod()
						n_queens_solution(4)





"""simple docstring"""




from ...configuration_utils import PretrainedConfig
from ...utils import logging


A_							:			Union[str, Any]											= logging.get_logger(__name__)

A_							:			int											= {
    "caidas/swin2sr-classicalsr-x2-64": (
        "https://huggingface.co/caidas/swin2sr-classicalsr-x2-64/resolve/main/config.json"
    ),
}





class    lowerCamelCase						(A__			):
			lowerCamelCase__   :		List[str]							=							'swin2sr'

			lowerCamelCase__   :		Optional[Any]							=							{
			    'hidden_size': 'embed_dim',
			    'num_attention_heads': 'num_heads',
			    'num_hidden_layers': 'num_layers',
			}

			def __init__(					self				:						Tuple    ,				__UpperCAmelCase				:						Optional[int]=6_4    ,				__UpperCAmelCase				:						Tuple=1    ,				__UpperCAmelCase				:						Optional[Any]=3    ,				__UpperCAmelCase				:						List[str]=1_8_0    ,				__UpperCAmelCase				:						List[str]=[6, 6, 6, 6, 6, 6]    ,				__UpperCAmelCase				:						Optional[Any]=[6, 6, 6, 6, 6, 6]    ,				__UpperCAmelCase				:						Tuple=8    ,				__UpperCAmelCase				:						Union[str, Any]=2.0    ,				__UpperCAmelCase				:						int=True    ,				__UpperCAmelCase				:						Optional[Any]=0.0    ,				__UpperCAmelCase				:						str=0.0    ,				__UpperCAmelCase				:						Dict=0.1    ,				__UpperCAmelCase				:						Dict="gelu"    ,				__UpperCAmelCase				:						Tuple=False    ,				__UpperCAmelCase				:						List[str]=0.02    ,				__UpperCAmelCase				:						List[Any]=1e-5    ,				__UpperCAmelCase				:						str=2    ,				__UpperCAmelCase				:						Optional[int]=1.0    ,				__UpperCAmelCase				:						Union[str, Any]="1conv"    ,				__UpperCAmelCase				:						List[Any]="pixelshuffle"    ,				**__UpperCAmelCase				:						Any    ,				)   ->    Optional[int]:
						super().__init__(**__UpperCAmelCase       )

						SCREAMING_SNAKE_CASE__								=      image_size
						SCREAMING_SNAKE_CASE__								=      patch_size
						SCREAMING_SNAKE_CASE__								=      num_channels
						SCREAMING_SNAKE_CASE__								=      embed_dim
						SCREAMING_SNAKE_CASE__								=      depths
						SCREAMING_SNAKE_CASE__								=      len(__UpperCAmelCase       )
						SCREAMING_SNAKE_CASE__								=      num_heads
						SCREAMING_SNAKE_CASE__								=      window_size
						SCREAMING_SNAKE_CASE__								=      mlp_ratio
						SCREAMING_SNAKE_CASE__								=      qkv_bias
						SCREAMING_SNAKE_CASE__								=      hidden_dropout_prob
						SCREAMING_SNAKE_CASE__								=      attention_probs_dropout_prob
						SCREAMING_SNAKE_CASE__								=      drop_path_rate
						SCREAMING_SNAKE_CASE__								=      hidden_act
						SCREAMING_SNAKE_CASE__								=      use_absolute_embeddings
						SCREAMING_SNAKE_CASE__								=      layer_norm_eps
						SCREAMING_SNAKE_CASE__								=      initializer_range
						SCREAMING_SNAKE_CASE__								=      upscale
						SCREAMING_SNAKE_CASE__								=      img_range
						SCREAMING_SNAKE_CASE__								=      resi_connection
						SCREAMING_SNAKE_CASE__								=      upsampler


