





import os

import pytest
from attr import dataclass


lowercase				:	List[str]      						=  """us-east-1"""  # defaults region





@dataclass
class 			A__   :




   """simple docstring"""



   __A       :    str
   __A       :    str	  =  '''arn:aws:iam::558105141721:role/sagemaker_execution_role'''
   __A       :    Tuple	  =  {
       '''task_name''': '''mnli''',
       '''per_device_train_batch_size''': 1_6,
       '''per_device_eval_batch_size''': 1_6,
       '''do_train''': True,
       '''do_eval''': True,
       '''do_predict''': True,
       '''output_dir''': '''/opt/ml/model''',
       '''overwrite_output_dir''': True,
       '''max_steps''': 5_0_0,
       '''save_steps''': 5_5_0_0,
   }
   __A       :    List[str]	  =  {**hyperparameters, '''max_steps''': 1_0_0_0}

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







          '''simple docstring'''

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

   @property
   def 							__lowercase		( self)      ->						str:







          '''simple docstring'''

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

   @property
   def 							__lowercase		( self)      ->						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 A_     (		A__    )  ->		Tuple:
       a__						:     Optional[int]			=    SageMakerTestEnvironment(framework=request.cls.framework    )









import re

from filelock import FileLock


try:
    import nltk

    lowercase				:	List[str]      						=  True
except (ImportError, ModuleNotFoundError):
    lowercase				:	Tuple      						=  False

if NLTK_AVAILABLE:
    with FileLock(""".lock""") as lock:
        nltk.download("""punkt""", quiet=True)



def A_     (		A__    )  ->		str:
       re.sub('<n>'		,				''		,				A__    )  # remove pegasus newline char
       assert NLTK_AVAILABLE, "nltk must be installed to separate newlines between sentences. (pip install nltk)"
       return "\n".join(nltk.sent_tokenize(A__    )    )


