




"""simple docstring"""


A_						=				{0: [2, 3], 1: [0], 2: [1], 3: [4], 4: []}

A_						=				{0: [1, 2, 3], 1: [2], 2: [0], 3: [4], 4: [5], 5: [3]}


def 					UpperCAmelCase__       (snake_case__							:					dict[int, list[int]]		,   snake_case__							:					int		,   snake_case__							:					list[bool]    ):
  """simple docstring"""

  _snake_case							:		Union[str, Any]								=  True
  _snake_case							:		List[Any]								=  []

  for neighbour in graph[vert]:
    if not visited[neighbour]:
      order += topology_sort(snake_case__		,   snake_case__		,   snake_case__    )

  order.append(snake_case__    )

  return order


def 					UpperCAmelCase__       (snake_case__							:					dict[int, list[int]]		,   snake_case__							:					int		,   snake_case__							:					list[bool]    ):
  """simple docstring"""

  _snake_case							:		Dict								=  True
  _snake_case							:		Dict								=  [vert]

  for neighbour in reversed_graph[vert]:
    if not visited[neighbour]:
      component += find_components(snake_case__		,   snake_case__		,   snake_case__    )

  return component






def 					UpperCAmelCase__       (snake_case__							:					dict[int, list[int]]    ):
  """simple docstring"""

  _snake_case							:		Any								=  len(snake_case__    ) * [False]
  _snake_case							:		dict[int, list[int]]								=  {vert: [] for vert in range(len(snake_case__    )    )}

  for vert, neighbours in graph.items():
    for neighbour in neighbours:
      reversed_graph[neighbour].append(snake_case__    )

  _snake_case							:		Optional[Any]								=  []
  for i, was_visited in enumerate(snake_case__    ):
    if not was_visited:
      order += topology_sort(snake_case__		,   snake_case__		,   snake_case__    )

  _snake_case							:		int								=  []
  _snake_case							:		Dict								=  len(snake_case__    ) * [False]

  for i in range(len(snake_case__    )    ):
    _snake_case							:		Union[str, Any]								=  order[len(snake_case__    ) - i - 1]
    if not visited[vert]:
      _snake_case							:		Tuple								=  find_components(snake_case__		,   snake_case__		,   snake_case__    )
      components_list.append(snake_case__    )

  return components_list






import os

import pytest
from attr import dataclass


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




@dataclass
class A  :
      UpperCamelCase__							:  str
      UpperCamelCase__							:  Dict      ='arn:aws:iam::558105141721:role/sagemaker_execution_role'
      UpperCamelCase__							:  int      ={
          '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,
      }
      UpperCamelCase__							:  Optional[Any]      ={**hyperparameters, 'max_steps': 1000}






      @property
      def        lowerCamelCase       (					self						:     List[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        lowerCamelCase       (					self						:     List[Any] )					->						str:
             """simple docstring"""




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






      @property
      def        lowerCamelCase       (					self						:     Union[str, Any] )					->						str:
             """simple docstring"""




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






      @property
      def        lowerCamelCase       (					self						:     Union[str, Any] )					->						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_      (    SCREAMING_SNAKE_CASE__					:      Tuple     ):
       '''simple docstring'''





       _lowerCamelCase       :		List[Any]		=SageMakerTestEnvironment(framework=request.cls.framework     )


