





import os

import pytest
from attr import dataclass


_snake_case  :   Dict						   =  'us-east-1'  # defaults region



@dataclass
class     _UpperCAmelCase   :

  """simple docstring"""


  a_      =			42
  a_      =			'arn:aws:iam::558105141721:role/sagemaker_execution_role'
  a_      =			{
      'task_name': 'mnli',
      'per_device_train_batch_size': 16,
      'per_device_eval_batch_size': 16,
      'do_train': True,
      'do_eval': True,
      'do_predict': True,
      'output_dir': '/opt/ml/model',
      'overwrite_output_dir': True,
      'max_steps': 5_00,
      'save_steps': 55_00,
  }
  a_      =			{**hyperparameters, 'max_steps': 10_00}






  @property
  def     lowercase		(    self			:		Optional[Any]					)							->						Optional[Any]:
     if self.framework == "pytorch":
        return [
            {"Name": "train_runtime", "Regex": r"train_runtime.*=\D*(.*?)$"},
            {"Name": "eval_accuracy", "Regex": r"eval_accuracy.*=\D*(.*?)$"},
            {"Name": "eval_loss", "Regex": r"eval_loss.*=\D*(.*?)$"},
        ]
     else:
        return [
            {"Name": "train_runtime", "Regex": r"train_runtime.*=\D*(.*?)$"},
            {"Name": "eval_accuracy", "Regex": r"loss.*=\D*(.*?)]?$"},
            {"Name": "eval_loss", "Regex": r"sparse_categorical_accuracy.*=\D*(.*?)]?$"},
        ]






  @property
  def     lowercase		(    self			:		Dict					)							->						Any:
     return f"""{self.framework}-transfromers-test"""






  @property
  def     lowercase		(    self			:		Union[str, Any]					)							->						Optional[Any]:
     return f"""./tests/sagemaker/scripts/{self.framework}"""






  @property
  def     lowercase		(    self			:		Dict					)							->						Dict:
     if self.framework == "pytorch":
        return "763104351884.dkr.ecr.us-east-1.amazonaws.com/huggingface-pytorch-training:1.7.1-transformers4.6.1-gpu-py36-cu110-ubuntu18.04"
     else:
        return "763104351884.dkr.ecr.us-east-1.amazonaws.com/huggingface-tensorflow-training:2.4.1-transformers4.6.1-gpu-py37-cu110-ubuntu18.04"





@pytest.fixture(scope='class'     )
def   a_   (			lowerCAmelCase_				:      Any     ):
   __lowerCAmelCase							     =     SageMakerTestEnvironment(framework=request.cls.framework     )








class     _UpperCAmelCase   :

  """simple docstring"""


  def __init__(    self			:		Union[str, Any] ,  lowerCAmelCase_			:		List[str] ,  lowerCAmelCase_			:		int ,  lowerCAmelCase_			:		Dict					)							->						List[str]:
     __lowerCAmelCase							     =     name
     __lowerCAmelCase							     =     value
     __lowerCAmelCase							     =     weight






  def __repr__(    self			:		Union[str, Any]					)							->						List[str]:
     return f"""{self.__class__.__name__}({self.name}, {self.value}, {self.weight})"""






  def     lowercase		(    self			:		int					)							->						Optional[int]:
     return self.value






  def     lowercase		(    self			:		Optional[Any]					)							->						Union[str, Any]:
     return self.name






  def     lowercase		(    self			:		List[Any]					)							->						Tuple:
     return self.weight






  def     lowercase		(    self			:		int					)							->						Dict:
     return self.value / self.weight





def   a_   (			lowerCAmelCase_				:      Dict,     lowerCAmelCase_				:      int,     lowerCAmelCase_				:      Optional[int]     ):
   __lowerCAmelCase							     =     []
   for i in range(len(lowerCAmelCase_     )     ):
      menu.append(Things(name[i],     value[i],     weight[i]     )     )
   return menu

def   a_   (			lowerCAmelCase_				:      Optional[int],     lowerCAmelCase_				:      List[Any],     lowerCAmelCase_				:      Optional[Any]     ):
   __lowerCAmelCase							     =     sorted(lowerCAmelCase_,     key=lowerCAmelCase_,     reverse=lowerCAmelCase_     )
   __lowerCAmelCase							     =     []
   __lowerCAmelCase     ,     __lowerCAmelCase							     =     0.0, 0.0
   for i in range(len(lowerCAmelCase_     )     ):
      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   a_   (			):
   pass


if __name__ == "__main__":
     import doctest

     doctest.testmod()

