


def 							_UpperCAmelCase				(UpperCamelCase__     :  list				,							UpperCamelCase__     :  list				,							UpperCamelCase__     :  int						):
       if len(UpperCamelCase__						) != len(UpperCamelCase__						):
              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.
       _A      :       Tuple				    = [p / w for p, w in zip(UpperCamelCase__				,							UpperCamelCase__						)]

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

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

    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)




from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_flax_available, is_torch_available


lowerCAmelCase__      		= {'configuration_speech_encoder_decoder': ['SpeechEncoderDecoderConfig']}

try:
    if not is_torch_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    lowerCAmelCase__      		= ['SpeechEncoderDecoderModel']

try:
    if not is_flax_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    lowerCAmelCase__      		= ['FlaxSpeechEncoderDecoderModel']

if TYPE_CHECKING:
    from .configuration_speech_encoder_decoder import SpeechEncoderDecoderConfig

    try:
        if not is_torch_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .modeling_speech_encoder_decoder import SpeechEncoderDecoderModel

    try:
        if not is_flax_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .modeling_flax_speech_encoder_decoder import FlaxSpeechEncoderDecoderModel

else:
    import sys

    lowerCAmelCase__      		= _LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)
