






"""simple docstring"""





def   a    (     __UpperCAmelCase      :    list      ,   __UpperCAmelCase      :    list      ,   __UpperCAmelCase      :    int  )    ->							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.
						__magic_name__:	Tuple							=       [p / w for p, w in zip(__UpperCAmelCase      ,   __UpperCAmelCase  )]

						# Creating a copy of the list and sorting profit/weight in ascending order
						__magic_name__:	Tuple							=       sorted(__UpperCAmelCase  )

						# declaring useful variables
						__magic_name__:	Optional[Any]							=       len(__UpperCAmelCase  )
						__magic_name__:	List[Any]							=       0
						__magic_name__:	Dict							=       0
						__magic_name__:	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
												__magic_name__:	Tuple							=       sorted_profit_by_weight[length - i - 1]
												__magic_name__:	Optional[Any]							=       profit_by_weight.index(__UpperCAmelCase  )
												__magic_name__:	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 collections import OrderedDict
from typing import Mapping

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


A			:						List[str]        =  logging.get_logger(__name__)

A			:						Tuple        =  {
    'kssteven/ibert-roberta-base': 'https://huggingface.co/kssteven/ibert-roberta-base/resolve/main/config.json',
    'kssteven/ibert-roberta-large': 'https://huggingface.co/kssteven/ibert-roberta-large/resolve/main/config.json',
    'kssteven/ibert-roberta-large-mnli': (
        'https://huggingface.co/kssteven/ibert-roberta-large-mnli/resolve/main/config.json'
    ),
}



class 				A       (			UpperCAmelCase__				):
					'''simple docstring'''






					A__     =					'''ibert'''

					def __init__(self       :		int ,   _UpperCAmelCase       :		Union[str, Any]=3_0522 ,   _UpperCAmelCase       :		Any=768 ,   _UpperCAmelCase       :		Optional[Any]=12 ,   _UpperCAmelCase       :		Union[str, Any]=12 ,   _UpperCAmelCase       :		List[Any]=3072 ,   _UpperCAmelCase       :		List[Any]="gelu" ,   _UpperCAmelCase       :		List[str]=0.1 ,   _UpperCAmelCase       :		Union[str, Any]=0.1 ,   _UpperCAmelCase       :		Optional[int]=512 ,   _UpperCAmelCase       :		str=2 ,   _UpperCAmelCase       :		Union[str, Any]=0.02 ,   _UpperCAmelCase       :		Dict=1E-1_2 ,   _UpperCAmelCase       :		int=1 ,   _UpperCAmelCase       :		str=0 ,   _UpperCAmelCase       :		Tuple=2 ,   _UpperCAmelCase       :		int="absolute" ,   _UpperCAmelCase       :		Any=False ,   _UpperCAmelCase       :		List[Any]="none" ,   **_UpperCAmelCase       :		List[Any] ,   )		->  Any:




							"""simple docstring"""


							super().__init__(pad_token_id=_UpperCAmelCase ,   bos_token_id=_UpperCAmelCase ,   eos_token_id=_UpperCAmelCase ,   **_UpperCAmelCase						)

							lowercase__	     =						vocab_size
							lowercase__	     =						hidden_size
							lowercase__	     =						num_hidden_layers
							lowercase__	     =						num_attention_heads
							lowercase__	     =						hidden_act
							lowercase__	     =						intermediate_size
							lowercase__	     =						hidden_dropout_prob
							lowercase__	     =						attention_probs_dropout_prob
							lowercase__	     =						max_position_embeddings
							lowercase__	     =						type_vocab_size
							lowercase__	     =						initializer_range
							lowercase__	     =						layer_norm_eps
							lowercase__	     =						position_embedding_type
							lowercase__	     =						quant_mode
							lowercase__	     =						force_dequant






class 				A       (			UpperCAmelCase__				):
					'''simple docstring'''






					@property
					def     lowerCamelCase__	(self       :		Dict						)		->  Mapping[str, Mapping[int, str]]:




							"""simple docstring"""


							if self.task == "multiple-choice":
									lowercase__	     =						{0: """batch""", 1: """choice""", 2: """sequence"""}
							else:
									lowercase__	     =						{0: """batch""", 1: """sequence"""}
							return OrderedDict(
							    [
							        ("""input_ids""", dynamic_axis),
							        ("""attention_mask""", dynamic_axis),
							    ]						)

