


def     lowerCAmelCase_					( __lowerCamelCase							,     __lowerCamelCase							,     __lowerCamelCase     ):

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

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

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

							__snake_case		:      Optional[Any]										=       [0]
							update_area_of_max_square(0							,     0     )
							return largest_square_area[0]







def     lowerCAmelCase_					( __lowerCamelCase							,     __lowerCamelCase							,     __lowerCamelCase     ):

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

														__snake_case		:      Optional[Any]										=       update_area_of_max_square_using_dp_array(__lowerCamelCase							,     col + 1							,     __lowerCamelCase     )
														__snake_case		:      List[str]										=       update_area_of_max_square_using_dp_array(row + 1							,     col + 1							,     __lowerCamelCase     )
														__snake_case		:      Tuple										=       update_area_of_max_square_using_dp_array(row + 1							,     __lowerCamelCase							,     __lowerCamelCase     )

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

							__snake_case		:      Optional[int]										=       [0]
							__snake_case		:      Optional[int]										=       [[-1] * cols for _ in range(__lowerCamelCase     )]
							update_area_of_max_square_using_dp_array(0							,     0							,     __lowerCamelCase     )

							return largest_square_area[0]







def     lowerCAmelCase_					( __lowerCamelCase							,     __lowerCamelCase							,     __lowerCamelCase     ):
							__snake_case		:      List[Any]										=       [[0] * (cols + 1) for _ in range(rows + 1     )]
							__snake_case		:      Optional[Any]										=       0
							for row in range(rows - 1							,     -1							,     -1     ):
														for col in range(cols - 1							,     -1							,     -1     ):
																					__snake_case		:      Union[str, Any]										=       dp_array[row][col + 1]
																					__snake_case		:      List[Any]										=       dp_array[row + 1][col + 1]
																					__snake_case		:      Optional[Any]										=       dp_array[row + 1][col]

																					if mat[row][col] == 1:
																												__snake_case		:      Union[str, Any]										=       1 + min(__lowerCamelCase							,     __lowerCamelCase							,     __lowerCamelCase     )
																												__snake_case		:      Any										=       max(dp_array[row][col]							,     __lowerCamelCase     )
																					else:
																												__snake_case		:      str										=       0

							return largest_square_area







def     lowerCAmelCase_					( __lowerCamelCase							,     __lowerCamelCase							,     __lowerCamelCase     ):
							__snake_case		:      Tuple										=       [0] * (cols + 1)
							__snake_case		:      Optional[Any]										=       [0] * (cols + 1)
							__snake_case		:      Union[str, Any]										=       0
							for row in range(rows - 1							,     -1							,     -1     ):
														for col in range(cols - 1							,     -1							,     -1     ):
																					__snake_case		:      Tuple										=       current_row[col + 1]
																					__snake_case		:      Dict										=       next_row[col + 1]
																					__snake_case		:      int										=       next_row[col]

																					if mat[row][col] == 1:
																												__snake_case		:      List[Any]										=       1 + min(__lowerCamelCase							,     __lowerCamelCase							,     __lowerCamelCase     )
																												__snake_case		:      Optional[Any]										=       max(current_row[col]							,     __lowerCamelCase     )
																					else:
																												__snake_case		:      List[Any]										=       0
														__snake_case		:      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]]))





import logging

from transformers.configuration_utils import PretrainedConfig


_snake_case					:		Optional[Any]      =    logging.getLogger(__name__)

class     a		(_lowerCAmelCase				):




							"""simple docstring"""


							__UpperCAmelCase   :							Tuple					  =  "masked_bert"

							def __init__(							self	:  Optional[int]   ,     lowerCamelCase	:  Any=30522   ,     lowerCamelCase	:  Tuple=768   ,     lowerCamelCase	:  str=12   ,     lowerCamelCase	:  Dict=12   ,     lowerCamelCase	:  List[str]=3072   ,     lowerCamelCase	:  List[str]="gelu"   ,     lowerCamelCase	:  Any=0.1   ,     lowerCamelCase	:  Any=0.1   ,     lowerCamelCase	:  List[Any]=512   ,     lowerCamelCase	:  int=2   ,     lowerCamelCase	:  str=0.02   ,     lowerCamelCase	:  List[str]=1E-12   ,     lowerCamelCase	:  Any=0   ,     lowerCamelCase	:  Dict="topK"   ,     lowerCamelCase	:  List[Any]="constant"   ,     lowerCamelCase	:  Dict=0.0   ,     **lowerCamelCase	:  List[Any]   ,     )     ->   Dict:
														super().__init__(pad_token_id=lowerCamelCase   ,     **lowerCamelCase    )

														__snake_case		:      Optional[Any]										=       vocab_size
														__snake_case		:      Optional[int]										=       hidden_size
														__snake_case		:      Tuple										=       num_hidden_layers
														__snake_case		:      Union[str, Any]										=       num_attention_heads
														__snake_case		:      Optional[Any]										=       hidden_act
														__snake_case		:      str										=       intermediate_size
														__snake_case		:      Tuple										=       hidden_dropout_prob
														__snake_case		:      Dict										=       attention_probs_dropout_prob
														__snake_case		:      List[str]										=       max_position_embeddings
														__snake_case		:      Union[str, Any]										=       type_vocab_size
														__snake_case		:      Any										=       initializer_range
														__snake_case		:      str										=       layer_norm_eps
														__snake_case		:      str										=       pruning_method
														__snake_case		:      int										=       mask_init
														__snake_case		:      Any										=       mask_scale

