






def 							A     (       a_							,a_							,a_					)     ->						int:

					def update_area_of_max_square(a_							,a_					) -> int:
										# BASE CASE
										if row >= rows or col >= cols:
															return 0

										__UpperCamelCase      :					Tuple       		=update_area_of_max_square(__snake_case							,col + 1					)
										__UpperCamelCase      :					Union[str, Any]       		=update_area_of_max_square(row + 1							,col + 1					)
										__UpperCamelCase      :					Union[str, Any]       		=update_area_of_max_square(row + 1							,__snake_case					)

										if mat[row][col]:
															__UpperCamelCase      :					Optional[int]       		=1 + min([right, diagonal, down]					)
															__UpperCamelCase      :					Optional[Any]       		=max(largest_square_area[0]							,__snake_case					)
															return sub_problem_sol
										else:
															return 0

					__UpperCamelCase      :					Union[str, Any]       		=[0]
					update_area_of_max_square(0							,0					)
					return largest_square_area[0]






def 							A     (       a_							,a_							,a_					)     ->						int:

					def update_area_of_max_square_using_dp_array(
					    a_							,a_							,a_					) -> int:
										if row >= rows or col >= cols:
															return 0
										if dp_array[row][col] != -1:
															return dp_array[row][col]

										__UpperCamelCase      :					Optional[Any]       		=update_area_of_max_square_using_dp_array(__snake_case							,col + 1							,__snake_case					)
										__UpperCamelCase      :					Dict       		=update_area_of_max_square_using_dp_array(row + 1							,col + 1							,__snake_case					)
										__UpperCamelCase      :					Optional[Any]       		=update_area_of_max_square_using_dp_array(row + 1							,__snake_case							,__snake_case					)

										if mat[row][col]:
															__UpperCamelCase      :					int       		=1 + min([right, diagonal, down]					)
															__UpperCamelCase      :					Union[str, Any]       		=max(largest_square_area[0]							,__snake_case					)
															__UpperCamelCase      :					Tuple       		=sub_problem_sol
															return sub_problem_sol
										else:
															return 0

					__UpperCamelCase      :					Optional[Any]       		=[0]
					__UpperCamelCase      :					Union[str, Any]       		=[[-1] * cols for _ in range(__snake_case					)]
					update_area_of_max_square_using_dp_array(0							,0							,__snake_case					)

					return largest_square_area[0]






def 							A     (       a_							,a_							,a_					)     ->						int:
					__UpperCamelCase      :					Union[str, Any]       		=[[0] * (cols + 1) for _ in range(rows + 1					)]
					__UpperCamelCase      :					Optional[int]       		=0
					for row in range(rows - 1							,-1							,-1					):
										for col in range(cols - 1							,-1							,-1					):
															__UpperCamelCase      :					str       		=dp_array[row][col + 1]
															__UpperCamelCase      :					int       		=dp_array[row + 1][col + 1]
															__UpperCamelCase      :					Union[str, Any]       		=dp_array[row + 1][col]

															if mat[row][col] == 1:
																				__UpperCamelCase      :					Dict       		=1 + min(__snake_case							,__snake_case							,__snake_case					)
																				__UpperCamelCase      :					Optional[Any]       		=max(dp_array[row][col]							,__snake_case					)
															else:
																				__UpperCamelCase      :					int       		=0

					return largest_square_area






def 							A     (       a_							,a_							,a_					)     ->						int:
					__UpperCamelCase      :					Union[str, Any]       		=[0] * (cols + 1)
					__UpperCamelCase      :					Dict       		=[0] * (cols + 1)
					__UpperCamelCase      :					Dict       		=0
					for row in range(rows - 1							,-1							,-1					):
										for col in range(cols - 1							,-1							,-1					):
															__UpperCamelCase      :					Optional[int]       		=current_row[col + 1]
															__UpperCamelCase      :					int       		=next_row[col + 1]
															__UpperCamelCase      :					List[str]       		=next_row[col]

															if mat[row][col] == 1:
																				__UpperCamelCase      :					str       		=1 + min(__snake_case							,__snake_case							,__snake_case					)
																				__UpperCamelCase      :					Optional[Any]       		=max(current_row[col]							,__snake_case					)
															else:
																				__UpperCamelCase      :					Union[str, Any]       		=0
										__UpperCamelCase      :					Optional[int]       		=current_row

					return largest_square_area


if __name__ == "__main__":
							import doctest

							doctest.testmod()
							print(largest_square_area_in_matrix_bottom_up(2, 2, [[1, 1], [1, 1]]))






"""simple docstring"""






from typing import TYPE_CHECKING

from ..utils import _LazyModule


__snake_case							:   Optional[int]      =    {
    'config': [
        'EXTERNAL_DATA_FORMAT_SIZE_LIMIT',
        'OnnxConfig',
        'OnnxConfigWithPast',
        'OnnxSeq2SeqConfigWithPast',
        'PatchingSpec',
    ],
    'convert': ['export', 'validate_model_outputs'],
    'features': ['FeaturesManager'],
    'utils': ['ParameterFormat', 'compute_serialized_parameters_size'],
}


if TYPE_CHECKING:
	from .config import (
	    EXTERNAL_DATA_FORMAT_SIZE_LIMIT,
	    OnnxConfig,
	    OnnxConfigWithPast,
	    OnnxSeqaSeqConfigWithPast,
	    PatchingSpec,
	)
	from .convert import export, validate_model_outputs
	from .features import FeaturesManager
	from .utils import ParameterFormat, compute_serialized_parameters_size

else:
	import sys

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