






"""simple docstring"""


class 						snake_case  :





    def __init__(							self     : Tuple    ,		A     : Tuple    ,		A     : str    ,		A     : Optional[Any]      ):


      '''simple docstring'''




      a					:      Dict    =       name
      a					:      Dict    =       value
      a					:      int    =       weight





    def __repr__(							self     : int      ):


      '''simple docstring'''




      return F'''{self.__class__.__name__}({self.name}, {self.value}, {self.weight})'''





    def     lowerCamelCase__				(							self     : List[Any]      ):


      '''simple docstring'''




      return self.value





    def     lowerCamelCase__				(							self     : int      ):


      '''simple docstring'''




      return self.name





    def     lowerCamelCase__				(							self     : Union[str, Any]      ):


      '''simple docstring'''




      return self.weight





    def     lowerCamelCase__				(							self     : Optional[int]      ):


      '''simple docstring'''




      return self.value / self.weight




def       snake_case  (A_				:int     ,      A_				:List[str]     ,      A_				:Optional[Any]				):







  '''simple docstring'''

  a					:      List[str]    =       []
  for i in range(len(A_				)				):
    menu.append(Things(name[i]     ,      value[i]     ,      weight[i]				)				)
  return menu




def       snake_case  (A_				:Optional[Any]     ,      A_				:Dict     ,      A_				:List[str]				):







  '''simple docstring'''

  a					:      List[str]    =       sorted(A_     ,      key=A_     ,      reverse=A_				)
  a					:      Any    =       []
  a,					a					:      Optional[Any]    =       0.0, 0.0
  for i in range(len(A_				)				):
    if (total_cost + items_copy[i].get_weight()) <= max_cost:
      result.append(items_copy[i]				)
      total_cost += items_copy[i].get_weight()
      total_value += items_copy[i].get_value()
  return (result, total_value)




def       snake_case  ():







  '''simple docstring'''



if __name__ == "__main__":
   import doctest

   doctest.testmod()












"""simple docstring"""


import logging
from dataclasses import dataclass, field
from pathlib import Path
from typing import Optional, Union

from .generation.configuration_utils import GenerationConfig
from .training_args import TrainingArguments
from .utils import add_start_docstrings


_UpperCamelCase    :   Dict   			=						logging.getLogger(__name__)






@dataclass
@add_start_docstrings(TrainingArguments.__doc__	)
class 						snake_case  (  UpperCAmelCase	):
    __magic_name__   					=					field(default=UpperCAmelCase       ,			metadata={'''help''': '''Whether to use SortishSampler or not.'''}	)
    __magic_name__   					=					field(
        default=UpperCAmelCase       ,			metadata={'''help''': '''Whether to use generate to calculate generative metrics (ROUGE, BLEU).'''}	)
    __magic_name__   					=					field(
        default=UpperCAmelCase       ,			metadata={
            '''help''': (
                '''The `max_length` to use on each evaluation loop when `predict_with_generate=True`. Will default '''
                '''to the `max_length` value of the model configuration.'''
            )
        }       ,			)
    __magic_name__   					=					field(
        default=UpperCAmelCase       ,			metadata={
            '''help''': (
                '''The `num_beams` to use on each evaluation loop when `predict_with_generate=True`. Will default '''
                '''to the `num_beams` value of the model configuration.'''
            )
        }       ,			)
    __magic_name__   					=					field(
        default=UpperCAmelCase       ,			metadata={
            '''help''': '''Model id, file path or url pointing to a GenerationConfig json file, to use during prediction.'''
        }       ,			)





    def     lowerCamelCase__				(							self     : Optional[int]      ):


      '''simple docstring'''




      a					:      List[Any]    =       super().to_dict()
      for k, v in d.items():
        if isinstance(A    ,		A      ):
          a					:      str    =       v.to_dict()
      return d




