


'''simple docstring'''



def   lowerCamelCase							(_SCREAMING_SNAKE_CASE				:       int						,				_SCREAMING_SNAKE_CASE				:       int						,				_SCREAMING_SNAKE_CASE				:       list[list[int]]       ):

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

										__a      :	str    =  update_area_of_max_square(_a						,				col + 1       )
										__a      :	Tuple    =  update_area_of_max_square(row + 1						,				col + 1       )
										__a      :	Any    =  update_area_of_max_square(row + 1						,				_a       )

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

					__a      :	List[Any]    =  [0]
					update_area_of_max_square(0						,				0       )
					return largest_square_area[0]






def   lowerCamelCase							(_SCREAMING_SNAKE_CASE				:       int						,				_SCREAMING_SNAKE_CASE				:       int						,				_SCREAMING_SNAKE_CASE				:       list[list[int]]       ):

					def update_area_of_max_square_using_dp_array(
					    _SCREAMING_SNAKE_CASE				:       int						,				_SCREAMING_SNAKE_CASE				:       int						,				_SCREAMING_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      :	Any    =  update_area_of_max_square_using_dp_array(_a						,				col + 1						,				_a       )
										__a      :	Union[str, Any]    =  update_area_of_max_square_using_dp_array(row + 1						,				col + 1						,				_a       )
										__a      :	Optional[int]    =  update_area_of_max_square_using_dp_array(row + 1						,				_a						,				_a       )

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

					__a      :	Dict    =  [0]
					__a      :	int    =  [[-1] * cols for _ in range(_a       )]
					update_area_of_max_square_using_dp_array(0						,				0						,				_a       )

					return largest_square_area[0]






def   lowerCamelCase							(_SCREAMING_SNAKE_CASE				:       int						,				_SCREAMING_SNAKE_CASE				:       int						,				_SCREAMING_SNAKE_CASE				:       list[list[int]]       ):
					__a      :	List[str]    =  [[0] * (cols + 1) for _ in range(rows + 1       )]
					__a      :	List[Any]    =  0
					for row in range(rows - 1						,				-1						,				-1       ):
										for col in range(cols - 1						,				-1						,				-1       ):
															__a      :	List[str]    =  dp_array[row][col + 1]
															__a      :	Union[str, Any]    =  dp_array[row + 1][col + 1]
															__a      :	Optional[int]    =  dp_array[row + 1][col]

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

					return largest_square_area






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

															if mat[row][col] == 1:
																				__a      :	str    =  1 + min(_a						,				_a						,				_a       )
																				__a      :	str    =  max(current_row[col]						,				_a       )
															else:
																				__a      :	Optional[int]    =  0
										__a      :	str    =  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 __future__ import annotations

from dataclasses import dataclass





@dataclass
class 							__UpperCamelCase    :
	A_           =   42
	A_           =   None
	A_           =   None






def   lowerCamelCase							(_SCREAMING_SNAKE_CASE				:       TreeNode | None       ):

					# Validation
					def is_valid_tree(_SCREAMING_SNAKE_CASE				:       TreeNode | None       ) -> bool:
										if node is None:
															return True

										if not isinstance(_SCREAMING_SNAKE_CASE						,				_SCREAMING_SNAKE_CASE       ):
															return False

										try:
															float(node.data       )
										except (TypeError, ValueError):
															return False

										return is_valid_tree(node.left       ) and is_valid_tree(node.right       )

					if not is_valid_tree(_SCREAMING_SNAKE_CASE       ):
										raise ValueError(
										    'Each node should be type of TreeNode and data should be float.'       )

					def is_binary_search_tree_recursive_check(
					    _SCREAMING_SNAKE_CASE				:       TreeNode | None						,				_SCREAMING_SNAKE_CASE				:       float						,				_SCREAMING_SNAKE_CASE				:       float       ) -> bool:

										if node is None:
															return True

										return (
										    left_bound < node.data < right_bound
										    and is_binary_search_tree_recursive_check(node.left						,				_SCREAMING_SNAKE_CASE						,				node.data       )
										    and is_binary_search_tree_recursive_check(
										        node.right						,				node.data						,				_SCREAMING_SNAKE_CASE       )
										)

					return is_binary_search_tree_recursive_check(_SCREAMING_SNAKE_CASE						,				-float('inf'       )						,				float('inf'       )       )


if __name__ == "__main__":
	import doctest

	doctest.testmod()



