

from __future__ import annotations





def  __lowerCamelCase     (			UpperCamelCase__       ,							UpperCamelCase__				):







							'''simple docstring'''






							snake_case_    ,   snake_case_          =   position
							snake_case_          =   [
							    (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),
							]
							snake_case_          =   []

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

							return permissible_positions





def  __lowerCamelCase     (			UpperCamelCase__				):







							'''simple docstring'''






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





def  __lowerCamelCase     (			UpperCamelCase__       ,							UpperCamelCase__       ,							UpperCamelCase__				):







							'''simple docstring'''






							if is_complete(UpperCamelCase__				):
														return True

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

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

							return False





def  __lowerCamelCase     (			UpperCamelCase__				):







							'''simple docstring'''






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

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

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


if __name__ == "__main__":
					import doctest

					doctest.testmod()







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


_UpperCAmelCase		:       str						    =	logging.get_logger(__name__)

_UpperCAmelCase		:       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    (	lowercase_      ):
				__SCREAMING_SNAKE_CASE :			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-1_2				,       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	)

											snake_case_          =   max_position_embeddings
											snake_case_          =   hidden_size
											snake_case_          =   num_hidden_layers
											snake_case_          =   num_attention_heads
											snake_case_          =   intermediate_size
											snake_case_          =   hidden_act
											snake_case_          =   hidden_dropout_prob
											snake_case_          =   attention_probs_dropout_prob
											snake_case_          =   initializer_range
											snake_case_          =   type_vocab_size
											snake_case_          =   layer_norm_eps

											# Character config:
											snake_case_          =   downsampling_rate
											snake_case_          =   upsampling_kernel_size
											snake_case_          =   num_hash_functions
											snake_case_          =   num_hash_buckets
											snake_case_          =   local_transformer_stride




