from __future__ import annotations






def  snake_case  (       snake_case__			:Any   ,	snake_case__			:List[Any])						->   int:
       _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        =  position
              if 0 <= y_test < n and 0 <= x_test < n:
                     permissible_positions.append(SCREAMING_SNAKE_CASE__)

       return permissible_positions






def  snake_case  (       snake_case__			:List[str])						->   List[str]:
       return not any(elem == 0 for row in board for elem in row)






def  snake_case  (       snake_case__			:List[Any]   ,	snake_case__			:Dict   ,	snake_case__			:Union[str, Any])						->   List[Any]:





       if is_complete(SCREAMING_SNAKE_CASE__):
              return True

       for position in get_valid_pos(SCREAMING_SNAKE_CASE__   ,	len(SCREAMING_SNAKE_CASE__)):
              _A        =  position

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

       return False






def  snake_case  (       snake_case__			:Union[str, Any])						->   Dict:
       _A        =  [[0 for i in range(SCREAMING_SNAKE_CASE__)] for j in range(SCREAMING_SNAKE_CASE__)]

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

       _A        =  F'''Open Kight Tour cannot be performed on a board of size {n}'''
       raise ValueError(SCREAMING_SNAKE_CASE__)


if __name__ == "__main__":
    import doctest

    doctest.testmod()








'''simple docstring'''


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


UpperCAmelCase_		:   Dict							   =		logging.get_logger(__name__)

UpperCAmelCase_		:   Optional[int]							   =		{
    'google/canine-s': 'https://huggingface.co/google/canine-s/resolve/main/config.json',
    # See all CANINE models at https://huggingface.co/models?filter=canine
}





class     lowercase__  (						_snake_case					):





							'''simple docstring'''


							A_							:      Optional[int]      	=  """canine"""






							def __init__(    self    ,					__snake_case=768    ,					__snake_case=12    ,					__snake_case=12    ,					__snake_case=3072    ,					__snake_case="gelu"    ,					__snake_case=0.1    ,					__snake_case=0.1    ,					__snake_case=1_6384    ,					__snake_case=16    ,					__snake_case=0.02    ,					__snake_case=1e-12    ,					__snake_case=0    ,					__snake_case=0XE000    ,					__snake_case=0XE001    ,					__snake_case=4    ,					__snake_case=4    ,					__snake_case=8    ,					__snake_case=1_6384    ,					__snake_case=128    ,					**__snake_case    ,					):
											super().__init__(pad_token_id=__snake_case    ,					bos_token_id=__snake_case    ,					eos_token_id=__snake_case    ,					**__snake_case  )

											_SCREAMING_SNAKE_CASE :       str     		=      max_position_embeddings
											_SCREAMING_SNAKE_CASE :       Any     		=      hidden_size
											_SCREAMING_SNAKE_CASE :       Dict     		=      num_hidden_layers
											_SCREAMING_SNAKE_CASE :       Tuple     		=      num_attention_heads
											_SCREAMING_SNAKE_CASE :       List[str]     		=      intermediate_size
											_SCREAMING_SNAKE_CASE :       Tuple     		=      hidden_act
											_SCREAMING_SNAKE_CASE :       Union[str, Any]     		=      hidden_dropout_prob
											_SCREAMING_SNAKE_CASE :       str     		=      attention_probs_dropout_prob
											_SCREAMING_SNAKE_CASE :       Dict     		=      initializer_range
											_SCREAMING_SNAKE_CASE :       Optional[int]     		=      type_vocab_size
											_SCREAMING_SNAKE_CASE :       Optional[Any]     		=      layer_norm_eps

											# Character config:
											_SCREAMING_SNAKE_CASE :       Any     		=      downsampling_rate
											_SCREAMING_SNAKE_CASE :       List[str]     		=      upsampling_kernel_size
											_SCREAMING_SNAKE_CASE :       Union[str, Any]     		=      num_hash_functions
											_SCREAMING_SNAKE_CASE :       Optional[Any]     		=      num_hash_buckets
											_SCREAMING_SNAKE_CASE :       Union[str, Any]     		=      local_transformer_stride




