






def    __lowerCAmelCase   (    __snake_case       ,			__snake_case       ,			__snake_case							):

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

          __lowerCAmelCase             =       update_area_of_max_square(A__       ,			col + 1							)
          __lowerCAmelCase             =       update_area_of_max_square(row + 1       ,			col + 1							)
          __lowerCAmelCase             =       update_area_of_max_square(row + 1       ,			A__							)

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

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





def    __lowerCAmelCase   (    __snake_case       ,			__snake_case       ,			__snake_case							):

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

          __lowerCAmelCase             =       update_area_of_max_square_using_dp_array(A__       ,			col + 1       ,			A__							)
          __lowerCAmelCase             =       update_area_of_max_square_using_dp_array(row + 1       ,			col + 1       ,			A__							)
          __lowerCAmelCase             =       update_area_of_max_square_using_dp_array(row + 1       ,			A__       ,			A__							)

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

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

     return largest_square_area[0]





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

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

     return largest_square_area





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

               if mat[row][col] == 1:
                    __lowerCAmelCase             =       1 + min(A__       ,			A__       ,			A__							)
                    __lowerCAmelCase             =       max(current_row[col]       ,			A__							)
               else:
                    __lowerCAmelCase             =       0
          __lowerCAmelCase             =       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 warnings

from ...utils import logging
from .image_processing_glpn import GLPNImageProcessor


a__   :					Optional[Any] 						=      logging.get_logger(__name__)



class    UpperCAmelCase__(				lowerCamelCase						):

   '''simple docstring'''




   def __init__(    self	:      Optional[Any]      ,					*lowerCAmelCase	:      Optional[Any]      ,					**lowerCAmelCase	:      List[Any])						->					None:




         """simple docstring"""

         warnings.warn(
             'The class GLPNFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please'
             ' use GLPNImageProcessor instead.'      ,					lowerCAmelCase      ,					)
         super().__init__(*lowerCAmelCase      ,					**lowerCAmelCase)
