


"""simple docstring"""







from __future__ import annotations




def        UpperCAmelCase__	(lowerCAmelCase_  ,						lowerCAmelCase_       ):




					'''simple docstring'''


					__SCREAMING_SNAKE_CASE       ,  __SCREAMING_SNAKE_CASE						       =    position
					__SCREAMING_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),
					]
					__SCREAMING_SNAKE_CASE						       =    []

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

					return permissible_positions




def        UpperCAmelCase__	(lowerCAmelCase_       ):




					'''simple docstring'''


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




def        UpperCAmelCase__	(lowerCAmelCase_  ,						lowerCAmelCase_  ,						lowerCAmelCase_       ):




					'''simple docstring'''


					if is_complete(lowerCAmelCase_       ):
										return True

					for position in get_valid_pos(lowerCAmelCase_  ,						len(lowerCAmelCase_       )       ):
										__SCREAMING_SNAKE_CASE       ,  __SCREAMING_SNAKE_CASE						       =    position

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

					return False




def        UpperCAmelCase__	(lowerCAmelCase_       ):




					'''simple docstring'''


					__SCREAMING_SNAKE_CASE						       =    [[0 for i in range(lowerCAmelCase_       )] for j in range(lowerCAmelCase_       )]

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

					__SCREAMING_SNAKE_CASE						       =    f"""Open Kight Tour cannot be performed on a board of size {n}"""
					raise ValueError(lowerCAmelCase_       )


if __name__ == "__main__":
		import doctest

		doctest.testmod()




"""simple docstring"""







from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tokenizers_available, is_torch_available


a__    :							List[str]            =					{
    '''configuration_biogpt''': ['''BIOGPT_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''BioGptConfig'''],
    '''tokenization_biogpt''': ['''BioGptTokenizer'''],
}

try:
		if not is_torch_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		a__    :							Union[str, Any]            =					[
		    '''BIOGPT_PRETRAINED_MODEL_ARCHIVE_LIST''',
		    '''BioGptForCausalLM''',
		    '''BioGptForTokenClassification''',
		    '''BioGptForSequenceClassification''',
		    '''BioGptModel''',
		    '''BioGptPreTrainedModel''',
		]


if TYPE_CHECKING:
		from .configuration_biogpt import BIOGPT_PRETRAINED_CONFIG_ARCHIVE_MAP, BioGptConfig
		from .tokenization_biogpt import BioGptTokenizer

		try:
				if not is_torch_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_biogpt import (
				    BIOGPT_PRETRAINED_MODEL_ARCHIVE_LIST,
				    BioGptForCausalLM,
				    BioGptForSequenceClassification,
				    BioGptForTokenClassification,
				    BioGptModel,
				    BioGptPreTrainedModel,
				)


else:
		import sys

		a__    :							Optional[int]            =					_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)
