




def      __lowerCAmelCase			(					UpperCamelCase	,      UpperCamelCase	,      UpperCamelCase      )     ->	Optional[Any]:

  if len(lowerCamelCase_      ) != len(lowerCamelCase_      ):
    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.
  lowerCAmelCase__				:  int		       =     [p / w for p, w in zip(lowerCamelCase_	,      lowerCamelCase_      )]

  # Creating a copy of the list and sorting profit/weight in ascending order
  lowerCAmelCase__				:  int		       =     sorted(lowerCamelCase_      )

  # declaring useful variables
  lowerCAmelCase__				:  int		       =     len(lowerCamelCase_      )
  lowerCAmelCase__				:  Optional[Any]		       =     0
  lowerCAmelCase__				:  Dict		       =     0
  lowerCAmelCase__				:  Tuple		       =     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
    lowerCAmelCase__				:  Optional[Any]		       =     sorted_profit_by_weight[length - i - 1]
    lowerCAmelCase__				:  List[str]		       =     profit_by_weight.index(lowerCamelCase_      )
    lowerCAmelCase__				:  Union[str, Any]		       =     -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."""
     )

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

     # Function Call
     calc_profit(profit, weight, max_weight)












import numpy as np






class  _lowerCAmelCase     :

      def __init__(   self		):
        lowerCAmelCase__				:  List[Any]		       =     (0, 0)
        lowerCAmelCase__				:  Optional[int]		       =     None
        lowerCAmelCase__				:  Optional[Any]		       =     0
        lowerCAmelCase__				:  Optional[int]		       =     0
        lowerCAmelCase__				:  Tuple		       =     0

      def __eq__(   self      ,				__UpperCAmelCase		):
        return self.position == cell.position







      def 	__magic_name__(   self		):
        print(self.position		)






class  _lowerCAmelCase     :

      def __init__(   self      ,				__UpperCAmelCase=(5, 5)		):
        lowerCAmelCase__				:  List[str]		       =     np.zeros(__UpperCAmelCase		)
        lowerCAmelCase__				:  List[Any]		       =     world_size[0]
        lowerCAmelCase__				:  str		       =     world_size[1]

      def 	__magic_name__(   self		):
        print(self.w		)







      def 	__magic_name__(   self      ,				__UpperCAmelCase		):
        lowerCAmelCase__				:  Optional[Any]		       =     [
            (-1, -1),
            (-1, 0),
            (-1, 1),
            (0, -1),
            (0, 1),
            (1, -1),
            (1, 0),
            (1, 1),
        ]
        lowerCAmelCase__				:  Tuple		       =     cell.position[0]
        lowerCAmelCase__				:  Optional[int]		       =     cell.position[1]
        lowerCAmelCase__				:  Any		       =     []
        for n in neughbour_cord:
          lowerCAmelCase__				:  int		       =     current_x + n[0]
          lowerCAmelCase__				:  Dict		       =     current_y + n[1]
          if 0 <= x < self.world_x_limit and 0 <= y < self.world_y_limit:
            lowerCAmelCase__				:  Optional[int]		       =     Cell()
            lowerCAmelCase__				:  Optional[int]		       =     (x, y)
            lowerCAmelCase__				:  Any		       =     cell
            neighbours.append(__UpperCAmelCase		)
        return neighbours



def      __lowerCAmelCase			(					UpperCamelCase	,      UpperCamelCase	,      UpperCamelCase      )     ->	Union[str, Any]:
  lowerCAmelCase__				:  int		       =     []
  lowerCAmelCase__				:  int		       =     []
  _open.append(UpperCamelCase      )

  while _open:
    lowerCAmelCase__				:  Dict		       =     np.argmin([n.f for n in _open]      )
    lowerCAmelCase__				:  Dict		       =     _open[min_f]
    _closed.append(_open.pop(UpperCamelCase      )      )
    if current == goal:
      break
    for n in world.get_neigbours(UpperCamelCase      ):
      for c in _closed:
        if c == n:
          continue
      lowerCAmelCase__				:  Any		       =     current.g + 1
      lowerCAmelCase__       ,			lowerCAmelCase__				:  int		       =     n.position
      lowerCAmelCase__       ,			lowerCAmelCase__				:  Union[str, Any]		       =     goal.position
      lowerCAmelCase__				:  Tuple		       =     (ya - ya) ** 2 + (xa - xa) ** 2
      lowerCAmelCase__				:  Optional[Any]		       =     n.h + n.g

      for c in _open:
        if c == n and c.f < n.f:
          continue
      _open.append(UpperCamelCase      )
  lowerCAmelCase__				:  List[Any]		       =     []
  while current.parent is not None:
    path.append(current.position      )
    lowerCAmelCase__				:  List[Any]		       =     current.parent
  path.append(current.position      )
  return path[::-1]


if __name__ == "__main__":
     lowerCAmelCase_					    = Gridworld()
     # Start position and goal
     lowerCAmelCase_					    = Cell()
     lowerCAmelCase_					    = (0, 0)
     lowerCAmelCase_					    = Cell()
     lowerCAmelCase_					    = (4, 4)
     print(F"""path from {start.position} to {goal.position}""")
     lowerCAmelCase_					    = astar(world, start, goal)
     #   Just for visual reasons.
     for i in s:
          lowerCAmelCase_					    = 1
     print(world.w)

