





from collections import OrderedDict
from typing import Mapping

from packaging import version

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


snake_case								=							logging.get_logger(__name__)

snake_case								=							{
    """facebook/data2vec-vision-base-ft""": (
        """https://huggingface.co/facebook/data2vec-vision-base-ft/resolve/main/config.json"""
    ),
}





class 					A_					(   UpperCAmelCase						):







       """simple docstring"""





       SCREAMING_SNAKE_CASE_   :			Tuple  			=	'''data2vec-vision'''







       def __init__(     self						:						List[str]    ,__A						:						Optional[Any]=768    ,__A						:						List[str]=12    ,__A						:						Tuple=12    ,__A						:						List[str]=3072    ,__A						:						Dict="gelu"    ,__A						:						Any=0.0    ,__A						:						List[str]=0.0    ,__A						:						str=0.02    ,__A						:						Union[str, Any]=1e-12    ,__A						:						List[Any]=224    ,__A						:						List[str]=16    ,__A						:						Any=3    ,__A						:						Dict=False    ,__A						:						str=False    ,__A						:						Optional[Any]=False    ,__A						:						Any=False    ,__A						:						List[Any]=0.1    ,__A						:						int=0.1    ,__A						:						Optional[int]=True    ,__A						:						Optional[Any]=[3, 5, 7, 11]    ,__A						:						List[str]=[1, 2, 3, 6]    ,__A						:						Optional[Any]=True    ,__A						:						Tuple=0.4    ,__A						:						Tuple=256    ,__A						:						List[str]=1    ,__A						:						List[Any]=False    ,__A						:						Tuple=255    ,**__A						:						Tuple    ,)    ->       Any:
         super().__init__(**__A	)

         _lowercase						    =			hidden_size
         _lowercase						    =			num_hidden_layers
         _lowercase						    =			num_attention_heads
         _lowercase						    =			intermediate_size
         _lowercase						    =			hidden_act
         _lowercase						    =			hidden_dropout_prob
         _lowercase						    =			attention_probs_dropout_prob
         _lowercase						    =			initializer_range
         _lowercase						    =			layer_norm_eps

         _lowercase						    =			image_size
         _lowercase						    =			patch_size
         _lowercase						    =			num_channels
         _lowercase						    =			use_mask_token
         _lowercase						    =			use_absolute_position_embeddings
         _lowercase						    =			use_relative_position_bias
         _lowercase						    =			use_shared_relative_position_bias
         _lowercase						    =			layer_scale_init_value
         _lowercase						    =			drop_path_rate
         _lowercase						    =			use_mean_pooling
         # decode head attributes (semantic segmentation)
         _lowercase						    =			out_indices
         _lowercase						    =			pool_scales
         # auxiliary head attributes (semantic segmentation)
         _lowercase						    =			use_auxiliary_head
         _lowercase						    =			auxiliary_loss_weight
         _lowercase						    =			auxiliary_channels
         _lowercase						    =			auxiliary_num_convs
         _lowercase						    =			auxiliary_concat_input
         _lowercase						    =			semantic_loss_ignore_index





class 					A_					(   UpperCAmelCase						):







       """simple docstring"""





       SCREAMING_SNAKE_CASE_   :			Tuple  			=	version.parse('''1.11'''						)







       @property
       def  __UpperCAmelCase			(     self						:						Union[str, Any]	)    ->       Mapping[str, Mapping[int, str]]:
         return OrderedDict(
             [
                 ('pixel_values', {0: 'batch', 1: 'num_channels', 2: 'height', 3: 'width'}),
             ]	)







       @property
       def  __UpperCAmelCase			(     self						:						Tuple	)    ->       float:
         return 1e-4






from __future__ import annotations



def  SCREAMING_SNAKE_CASE				(      snake_case						,   snake_case							)		->    list[tuple[int, int]]:
		__lowercase						,      __lowercase											=     position
		__lowercase											=     [
		    (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),
		]
		__lowercase											=     []

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

		return permissible_positions



def  SCREAMING_SNAKE_CASE				(      snake_case							)		->    bool:
		return not any(elem == 0 for row in board for elem in row							)



def  SCREAMING_SNAKE_CASE				(      snake_case						,   snake_case						,   snake_case							)		->    bool:

		if is_complete(snake_case							):
				return True

		for position in get_valid_pos(snake_case						,   len(snake_case							)							):
				__lowercase						,      __lowercase											=     position

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

		return False



def  SCREAMING_SNAKE_CASE				(      snake_case							)		->    list[list[int]]:
		__lowercase											=     [[0 for i in range(snake_case							)] for j in range(snake_case							)]

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

		__lowercase											=     F"Open Kight Tour cannot be performed on a board of size {n}"
		raise ValueError(snake_case							)


if __name__ == "__main__":
		import doctest

		doctest.testmod()




