
"""simple docstring"""





def  lowerCamelCase__						(     __snake_case,	__snake_case,	__snake_case      )				->						int:


					"""simple docstring"""





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

										_UpperCamelCase									=    update_area_of_max_square(__snake_case,	col + 1      )
										_UpperCamelCase									=    update_area_of_max_square(row + 1,	col + 1      )
										_UpperCamelCase									=    update_area_of_max_square(row + 1,	__snake_case      )

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

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



def  lowerCamelCase__						(     __snake_case,	__snake_case,	__snake_case      )				->						int:


					"""simple docstring"""





					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]

										_UpperCamelCase									=    update_area_of_max_square_using_dp_array(__snake_case,	col + 1,	__snake_case      )
										_UpperCamelCase									=    update_area_of_max_square_using_dp_array(row + 1,	col + 1,	__snake_case      )
										_UpperCamelCase									=    update_area_of_max_square_using_dp_array(row + 1,	__snake_case,	__snake_case      )

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

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

					return largest_square_area[0]



def  lowerCamelCase__						(     __snake_case,	__snake_case,	__snake_case      )				->						int:


					"""simple docstring"""





					_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(__snake_case,	__snake_case,	__snake_case      )
																				_UpperCamelCase									=    max(dp_array[row][col],	__snake_case      )
															else:
																				_UpperCamelCase									=    0

					return largest_square_area



def  lowerCamelCase__						(     __snake_case,	__snake_case,	__snake_case      )				->						int:


					"""simple docstring"""





					_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(__snake_case,	__snake_case,	__snake_case      )
																				_UpperCamelCase									=    max(current_row[col],	__snake_case      )
															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]]))








"""simple docstring"""






def       A_  (				__lowercase						,	__lowercase						,	__lowercase	):
 if len(__lowercase	) != len(__lowercase	):
  raise ValueError('The length of profit and weight must be same.'	)
 if max_weight <= 0:
  raise ValueError('max_weight must greater than zero.'	)
 if any(p < 0 for p in profit	):
  raise ValueError('Profit can not be negative.'	)
 if any(w < 0 for w in weight	):
  raise ValueError('Weight can not be negative.'	)

 # List created to store profit gained for the 1kg in case of each weight
 # respectively.  Calculate and append profit/weight for each element.
 UpperCamelCase_     :					int   	=[p / w for p, w in zip(__lowercase						,	__lowercase	)]

 # Creating a copy of the list and sorting profit/weight in ascending order
 UpperCamelCase_     :					Optional[int]   	=sorted(__lowercase	)

 # declaring useful variables
 UpperCamelCase_     :					Optional[int]   	=len(__lowercase	)
 UpperCamelCase_     :					Optional[int]   	=0
 UpperCamelCase_     :					List[Any]   	=0
 UpperCamelCase_     :					Optional[int]   	=0

 # loop till the total weight do not reach max limit e.g. 15 kg and till i<length
 while limit <= max_weight and i < length:
  # flag value for encountered greatest element in sorted_profit_by_weight
  UpperCamelCase_     :					List[str]   	=sorted_profit_by_weight[length - i - 1]
  UpperCamelCase_     :					Optional[Any]   	=profit_by_weight.index(__lowercase	)
  UpperCamelCase_     :					str   	=-1

  # check if the weight encountered is less than the total weight
  # encountered before.
  if max_weight - limit >= weight[index]:
   limit += weight[index]
   # Adding profit gained for the given weight 1 ===
   # weight[index]/weight[index]
   gain += 1 * profit[index]
  else:
   # Since the weight encountered is greater than limit, therefore take the
   # required number of remaining kgs and calculate profit for it.
   # weight remaining / weight[index]
   gain += (max_weight - limit) / weight[index] * profit[index]
   break
  i += 1
 return gain


if __name__ == "__main__":
 print(
     'Input profits, weights, and then max_weight (all positive ints) separated by '
     'spaces.'
 )

 __SCREAMING_SNAKE_CASE							=     [int(x) for x in input('Input profits separated by spaces: ').split()]
 __SCREAMING_SNAKE_CASE							=     [int(x) for x in input('Input weights separated by spaces: ').split()]
 __SCREAMING_SNAKE_CASE							=     int(input('Max weight allowed: '))

 # Function Call
 calc_profit(profit, weight, max_weight)
