

def        UpperCamelCase_(							_snake_case   :  int       ,     _snake_case   :  int       ,     _snake_case   :  list[list[int]]	):




			"""simple docstring"""






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

						__a        =update_area_of_max_square(_snake_case       ,     col + 1	)
						__a        =update_area_of_max_square(row + 1       ,     col + 1	)
						__a        =update_area_of_max_square(row + 1       ,     _snake_case	)

						if mat[row][col]:
									__a        =1 + min([right, diagonal, down]	)
									__a        =max(largest_square_area[0]       ,     _snake_case	)
									return sub_problem_sol
						else:
									return 0

			__a        =[0]
			update_area_of_max_square(0       ,     0	)
			return largest_square_area[0]






def        UpperCamelCase_(							_snake_case   :  int       ,     _snake_case   :  int       ,     _snake_case   :  list[list[int]]	):




			"""simple docstring"""






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

						__a        =update_area_of_max_square_using_dp_array(_snake_case       ,     col + 1       ,     _snake_case	)
						__a        =update_area_of_max_square_using_dp_array(row + 1       ,     col + 1       ,     _snake_case	)
						__a        =update_area_of_max_square_using_dp_array(row + 1       ,     _snake_case       ,     _snake_case	)

						if mat[row][col]:
									__a        =1 + min([right, diagonal, down]	)
									__a        =max(largest_square_area[0]       ,     _snake_case	)
									__a        =sub_problem_sol
									return sub_problem_sol
						else:
									return 0

			__a        =[0]
			__a        =[[-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        UpperCamelCase_(							_snake_case   :  int       ,     _snake_case   :  int       ,     _snake_case   :  list[list[int]]	):




			"""simple docstring"""






			__a        =[[0] * (cols + 1) for _ in range(rows + 1	)]
			__a        =0
			for row in range(rows - 1       ,     -1       ,     -1	):
						for col in range(cols - 1       ,     -1       ,     -1	):
									__a        =dp_array[row][col + 1]
									__a        =dp_array[row + 1][col + 1]
									__a        =dp_array[row + 1][col]

									if mat[row][col] == 1:
												__a        =1 + min(_snake_case       ,     _snake_case       ,     _snake_case	)
												__a        =max(dp_array[row][col]       ,     _snake_case	)
									else:
												__a        =0

			return largest_square_area






def        UpperCamelCase_(							_snake_case   :  int       ,     _snake_case   :  int       ,     _snake_case   :  list[list[int]]	):




			"""simple docstring"""






			__a        =[0] * (cols + 1)
			__a        =[0] * (cols + 1)
			__a        =0
			for row in range(rows - 1       ,     -1       ,     -1	):
						for col in range(cols - 1       ,     -1       ,     -1	):
									__a        =current_row[col + 1]
									__a        =next_row[col + 1]
									__a        =next_row[col]

									if mat[row][col] == 1:
												__a        =1 + min(_snake_case       ,     _snake_case       ,     _snake_case	)
												__a        =max(current_row[col]       ,     _snake_case	)
									else:
												__a        =0
						__a        =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]]))









_lowerCAmelCase					:			Optional[int]  				=			"\n# Transformers installation\n! pip install transformers datasets\n# To install from source instead of the last release, comment the command above and uncomment the following one.\n# ! pip install git+https://github.com/huggingface/transformers.git\n"

_lowerCAmelCase					:			Tuple  				=			[{"type": "code", "content": INSTALL_CONTENT}]
_lowerCAmelCase					:			Optional[int]  				=			{
    "{processor_class}": "FakeProcessorClass",
    "{model_class}": "FakeModelClass",
    "{object_class}": "FakeObjectClass",
}






