"""simple docstring"""



from __future__ import annotations

def  _A(		lowerCAmelCase							):
							A__       :     str								=			len(A_							)
							# We need to create solution object to save path.
							A__       :     List[Any]								=			[[0 for _ in range(A_							)] for _ in range(A_							)]
							A__       :     Union[str, Any]								=			run_maze(A_			,  0			,  0			,  A_							)
							if solved:
														print("""\n""".join(str(A_							) for row in solutions							)							)
							else:
														print("""No solution exists!"""							)
							return solved

def  _A(		lowerCAmelCase			,  lowerCAmelCase			,  lowerCAmelCase			,  lowerCAmelCase							):
							A__       :     Dict								=			len(A_							)
							# Final check point.
							if i == j == (size - 1):
														A__       :     Any								=			1
														return True

							A__       :     Optional[int]								=			(not i < 0) and (not j < 0)  # Check lower bounds
							A__       :     Optional[Any]								=			(i < size) and (j < size)  # Check upper bounds

							if lower_flag and upper_flag:
														# check for already visited and block points.
														A__       :     Dict								=			(not solutions[i][j]) and (not maze[i][j])
														if block_flag:
																					# check visited
																					A__       :     List[Any]								=			1

																					# check for directions
																					if (
																					    run_maze(A_			,  i + 1			,  A_			,  A_							)
																					    or run_maze(A_			,  A_			,  j + 1			,  A_							)
																					    or run_maze(A_			,  i - 1			,  A_			,  A_							)
																					    or run_maze(A_			,  A_			,  j - 1			,  A_							)
																					):
																												return True

																					A__       :     Dict								=			0
																					return False
							return False


if __name__ == "__main__":
				import doctest

				doctest.testmod()








"""simple docstring"""





from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


__UpperCamelCase    : str				 =						{
    '''configuration_swinv2''': ['''SWINV2_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''Swinv2Config'''],
}


try:
							if not is_torch_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							__UpperCamelCase    : List[Any]				 =						[
							    '''SWINV2_PRETRAINED_MODEL_ARCHIVE_LIST''',
							    '''Swinv2ForImageClassification''',
							    '''Swinv2ForMaskedImageModeling''',
							    '''Swinv2Model''',
							    '''Swinv2PreTrainedModel''',
							]


if TYPE_CHECKING:
							from .configuration_swinva import SWINV2_PRETRAINED_CONFIG_ARCHIVE_MAP, SwinvaConfig

							try:
														if not is_torch_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_swinva import (
														    SWINV2_PRETRAINED_MODEL_ARCHIVE_LIST,
														    SwinvaForImageClassification,
														    SwinvaForMaskedImageModeling,
														    SwinvaModel,
														    SwinvaPreTrainedModel,
														)


else:
							import sys

							__UpperCamelCase    : List[Any]				 =						_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)




