





import os

import pytest
from attr import dataclass


_UpperCAmelCase       =				'us-east-1'  # defaults region






@dataclass
class   snake_case_							:
  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": 500,
      "save_steps": 5500,
  }
  A_     				=       {**hyperparameters, "max_steps": 1000}






  @property
  def  UpperCAmelCase__		(				self					:	Optional[Any]     )->str:






   '''simple docstring'''

   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  UpperCAmelCase__		(				self					:	List[str]     )->str:






   '''simple docstring'''

   return F'''{self.framework}-transfromers-test'''






  @property
  def  UpperCAmelCase__		(				self					:	Dict     )->str:






   '''simple docstring'''

   return F'''./tests/sagemaker/scripts/{self.framework}'''






  @property
  def  UpperCAmelCase__		(				self					:	str     )->str:






   '''simple docstring'''

   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 			_SCREAMING_SNAKE_CASE						(     SCREAMING_SNAKE_CASE						:Union[str, Any]       )     ->       List[str]:
 __lowerCAmelCase	:			List[str]         =  SageMakerTestEnvironment(framework=request.cls.framework       )




import requests
from bsa import BeautifulSoup

def 	SCREAMING_SNAKE_CASE_							(	_snake_case	:str = "AAPL"				)  ->     str:
   _A      =       F'''https://in.finance.yahoo.com/quote/{symbol}?s={symbol}'''
   _A      =       BeautifulSoup(requests.get(_snake_case				).text	,   '''html.parser'''				)
   _A      =       '''My(6px) Pos(r) smartphone_Mt(6px)'''
   return soup.find('''div'''	,   class_=class_				).find('''span'''				).text


if __name__ == "__main__":
   for symbol in "AAPL AMZN IBM GOOG MSFT ORCL".split():
      print(f'Current {symbol:<4} stock price is {stock_price(symbol):>8}')



