


'''simple docstring'''






import os

import pytest
from attr import dataclass


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






@dataclass
class    __snake_case       :







    """simple docstring"""



    lowercase    =					42
    lowercase    =					'arn:aws:iam::558105141721:role/sagemaker_execution_role'
    lowercase    =					{
        '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,
    }
    lowercase    =					{**hyperparameters, 'max_steps': 10_00}

    @property
    def __lowercase   (   self    :  List[str]		)   ->  str:
      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    :  Optional[int]		)   ->  str:
      return F'{self.framework}-transfromers-test'

    @property
    def __lowercase   (   self    :  List[Any]		)   ->  str:
      return F'./tests/sagemaker/scripts/{self.framework}'





    @property
    def __lowercase   (   self    :  int		)   ->  str:
      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 				UpperCamelCase_			(    A__					:   Tuple					):
  '''simple docstring'''





  lowerCAmelCase_			:      Optional[int]			=   SageMakerTestEnvironment(framework=request.cls.framework					)







'''simple docstring'''






from __future__ import annotations

from typing import Any






class    __snake_case       (   _SCREAMING_SNAKE_CASE):







    """simple docstring"""



    pass







class    __snake_case       :







    """simple docstring"""



    def __init__(   self    :  Union[str, Any]    ,						lowerCamelCase    :  Any		)   ->  None:
      lowerCAmelCase_			:      Any			=   data
      lowerCAmelCase_			:      Node | None			=   None

    def __iter__(   self    :  Union[str, Any]		)   ->  Optional[Any]:
      lowerCAmelCase_			:      Union[str, Any]			=   self
      lowerCAmelCase_			:      Any			=   []
      while node:
        if node in visited:
          raise ContainsLoopError
        visited.append(lowerCamelCase		)
        yield node.data
        lowerCAmelCase_			:      int			=   node.next_node





    @property
    def __lowercase   (   self    :  str		)   ->  bool:
      try:
        list(self		)
        return False
      except ContainsLoopError:
        return True


if __name__ == "__main__":
  __A					:  Dict											=      Node(1)
  __A					:  Optional[Any]											=      Node(2)
  __A					:  int											=      Node(3)
  __A					:  Optional[Any]											=      Node(4)
  print(root_node.has_loop)  # False
  __A					:  Any											=      root_node.next_node
  print(root_node.has_loop)  # True

  __A					:  List[Any]											=      Node(5)
  __A					:  Dict											=      Node(6)
  __A					:  str											=      Node(5)
  __A					:  Dict											=      Node(6)
  print(root_node.has_loop)  # False

  __A					:  Optional[int]											=      Node(1)
  print(root_node.has_loop)  # False



