"""simple docstring"""




def 							SCREAMING_SNAKE_CASE  (    _lowerCamelCase		: list    ,_lowerCamelCase		: list    ,_lowerCamelCase		: int			) ->   int:
  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		: Union[str, Any]						    =  [p / w for p, w in zip(_lowerCamelCase    ,_lowerCamelCase			)]

  # Creating a copy of the list and sorting profit/weight in ascending order
  _lowerCAmelCase		: Union[str, Any]						    =  sorted(_lowerCamelCase			)

  # declaring useful variables
  _lowerCAmelCase		: Dict						    =  len(_lowerCamelCase			)
  _lowerCAmelCase		: Tuple						    =  0
  _lowerCAmelCase		: str						    =  0
  _lowerCAmelCase		: Dict						    =  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		: List[Any]						    =  sorted_profit_by_weight[length - i - 1]
    _lowerCAmelCase		: Union[str, Any]						    =  profit_by_weight.index(_lowerCamelCase			)
    _lowerCAmelCase		: Dict						    =  -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.'
     )

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

     # Function Call
     calc_profit(profit, weight, max_weight)





"""simple docstring"""




import warnings

from ...utils import logging
from .image_processing_segformer import SegformerImageProcessor


_a   :	Tuple 					=     logging.get_logger(__name__)
class 		__A							(				SCREAMING_SNAKE_CASE_	):






     def __init__(	self       ,  *a__       ,  **a__						):
       warnings.warn(
           """The class SegformerFeatureExtractor is deprecated and will be removed in version 5 of Transformers."""
           """ Please use SegformerImageProcessor instead."""       ,  a__       ,  )
       super().__init__(*a__       ,  **a__						)




