


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

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

						UpperCamelCase__					=       update_area_of_max_square(_A				,     col + 1  )
						UpperCamelCase__					=       update_area_of_max_square(row + 1				,     col + 1  )
						UpperCamelCase__					=       update_area_of_max_square(row + 1				,     _A  )

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

			UpperCamelCase__					=       [0]
			update_area_of_max_square(0				,     0  )
			return largest_square_area[0]
def        UpperCamelCase_(				_A   :int				,     _A   :int				,     _A   :list[list[int]]  )->		int:

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

						UpperCamelCase__					=       update_area_of_max_square_using_dp_array(_A				,     col + 1				,     _A  )
						UpperCamelCase__					=       update_area_of_max_square_using_dp_array(row + 1				,     col + 1				,     _A  )
						UpperCamelCase__					=       update_area_of_max_square_using_dp_array(row + 1				,     _A				,     _A  )

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

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

			return largest_square_area[0]
def        UpperCamelCase_(				_A   :int				,     _A   :int				,     _A   :list[list[int]]  )->		int:
			UpperCamelCase__					=       [[0] * (cols + 1) for _ in range(rows + 1  )]
			UpperCamelCase__					=       0
			for row in range(rows - 1				,     -1				,     -1  ):
						for col in range(cols - 1				,     -1				,     -1  ):
									UpperCamelCase__					=       dp_array[row][col + 1]
									UpperCamelCase__					=       dp_array[row + 1][col + 1]
									UpperCamelCase__					=       dp_array[row + 1][col]

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

			return largest_square_area
def        UpperCamelCase_(				_A   :int				,     _A   :int				,     _A   :list[list[int]]  )->		int:
			UpperCamelCase__					=       [0] * (cols + 1)
			UpperCamelCase__					=       [0] * (cols + 1)
			UpperCamelCase__					=       0
			for row in range(rows - 1				,     -1				,     -1  ):
						for col in range(cols - 1				,     -1				,     -1  ):
									UpperCamelCase__					=       current_row[col + 1]
									UpperCamelCase__					=       next_row[col + 1]
									UpperCamelCase__					=       next_row[col]

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






from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available


__UpperCamelCase    		=       {
    'configuration_mobilenet_v2': [
        'MOBILENET_V2_PRETRAINED_CONFIG_ARCHIVE_MAP',
        'MobileNetV2Config',
        'MobileNetV2OnnxConfig',
    ],
}

try:
						if not is_vision_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						__UpperCamelCase    		=       ['MobileNetV2FeatureExtractor']
						__UpperCamelCase    		=       ['MobileNetV2ImageProcessor']


try:
						if not is_torch_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						__UpperCamelCase    		=       [
						    'MOBILENET_V2_PRETRAINED_MODEL_ARCHIVE_LIST',
						    'MobileNetV2ForImageClassification',
						    'MobileNetV2ForSemanticSegmentation',
						    'MobileNetV2Model',
						    'MobileNetV2PreTrainedModel',
						    'load_tf_weights_in_mobilenet_v2',
						]


if TYPE_CHECKING:
						from .configuration_mobilenet_va import (
						    MOBILENET_V2_PRETRAINED_CONFIG_ARCHIVE_MAP,
						    MobileNetVaConfig,
						    MobileNetVaOnnxConfig,
						)

						try:
												if not is_vision_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .feature_extraction_mobilenet_va import MobileNetVaFeatureExtractor
												from .image_processing_mobilenet_va import MobileNetVaImageProcessor

						try:
												if not is_torch_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .modeling_mobilenet_va import (
												    MOBILENET_V2_PRETRAINED_MODEL_ARCHIVE_LIST,
												    MobileNetVaForImageClassification,
												    MobileNetVaForSemanticSegmentation,
												    MobileNetVaModel,
												    MobileNetVaPreTrainedModel,
												    load_tf_weights_in_mobilenet_va,
												)


else:
						import sys

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


