


'''simple docstring'''






def 		_A			(lowerCAmelCase__					:int			,  lowerCAmelCase__					:int			,  lowerCAmelCase__					:list[list[int]]						)				->					int:




					'''simple docstring'''



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

										_a      =							update_area_of_max_square(_SCREAMING_SNAKE_CASE			,  col + 1						)
										_a      =							update_area_of_max_square(row + 1			,  col + 1						)
										_a      =							update_area_of_max_square(row + 1			,  _SCREAMING_SNAKE_CASE						)

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

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






def 		_A			(lowerCAmelCase__					:int			,  lowerCAmelCase__					:int			,  lowerCAmelCase__					:list[list[int]]						)				->					int:




					'''simple docstring'''



					def update_area_of_max_square_using_dp_array(
					    lowerCAmelCase__					:int			,  lowerCAmelCase__					:int			,  lowerCAmelCase__					: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(_SCREAMING_SNAKE_CASE			,  col + 1			,  _SCREAMING_SNAKE_CASE						)
										_a      =							update_area_of_max_square_using_dp_array(row + 1			,  col + 1			,  _SCREAMING_SNAKE_CASE						)
										_a      =							update_area_of_max_square_using_dp_array(row + 1			,  _SCREAMING_SNAKE_CASE			,  _SCREAMING_SNAKE_CASE						)

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

					_a      =							[0]
					_a      =							[[-1] * cols for _ in range(_SCREAMING_SNAKE_CASE						)]
					update_area_of_max_square_using_dp_array(0			,  0			,  _SCREAMING_SNAKE_CASE						)

					return largest_square_area[0]






def 		_A			(lowerCAmelCase__					:int			,  lowerCAmelCase__					:int			,  lowerCAmelCase__					:list[list[int]]						)				->					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(_SCREAMING_SNAKE_CASE			,  _SCREAMING_SNAKE_CASE			,  _SCREAMING_SNAKE_CASE						)
																				_a      =							max(dp_array[row][col]			,  _SCREAMING_SNAKE_CASE						)
															else:
																				_a      =							0

					return largest_square_area






def 		_A			(lowerCAmelCase__					:int			,  lowerCAmelCase__					:int			,  lowerCAmelCase__					:list[list[int]]						)				->					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(_SCREAMING_SNAKE_CASE			,  _SCREAMING_SNAKE_CASE			,  _SCREAMING_SNAKE_CASE						)
																				_a      =							max(current_row[col]			,  _SCREAMING_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]]))





'''simple docstring'''






from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


a_   :      str				    =      {
    "configuration_nllb_moe": [
        "NLLB_MOE_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "NllbMoeConfig",
    ]
}

try:
 if not is_torch_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 a_   :      Tuple				    =      [
     "NLLB_MOE_PRETRAINED_MODEL_ARCHIVE_LIST",
     "NllbMoeForConditionalGeneration",
     "NllbMoeModel",
     "NllbMoePreTrainedModel",
     "NllbMoeTop2Router",
     "NllbMoeSparseMLP",
 ]


if TYPE_CHECKING:
 from .configuration_nllb_moe import (
     NLLB_MOE_PRETRAINED_CONFIG_ARCHIVE_MAP,
     NllbMoeConfig,
 )

 try:
  if not is_torch_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .modeling_nllb_moe import (
      NLLB_MOE_PRETRAINED_MODEL_ARCHIVE_LIST,
      NllbMoeForConditionalGeneration,
      NllbMoeModel,
      NllbMoePreTrainedModel,
      NllbMoeSparseMLP,
      NllbMoeTopaRouter,
  )


else:
 import sys

 a_   :      str				    =      _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)

