
from collections import deque
def 							A_     (__a				):

					'''simple docstring'''





					A_				 =						len(__a				)
					A_				 =						deque()
					A_				 =						[False for _ in range(__a				)]
					A_				 =						[-1 for _ in range(__a				)]
					A_				 =						index_of[:]

					def strong_connect(__a				,   __a				,   __a				):
										A_				 =						index  # the number when this node is seen
										A_				 =						index  # lowest rank node reachable from here
										index += 1
										stack.append(__a				)
										A_				 =						True

										for w in g[v]:
															if index_of[w] == -1:
																				A_				 =						strong_connect(__a				,   __a				,   __a				)
																				A_				 =						(
																				    lowlink_of[w] if lowlink_of[w] < lowlink_of[v] else lowlink_of[v]
																				)
															elif on_stack[w]:
																				A_				 =						(
																				    lowlink_of[w] if lowlink_of[w] < lowlink_of[v] else lowlink_of[v]
																				)

										if lowlink_of[v] == index_of[v]:
															A_				 =						[]
															A_				 =						stack.pop()
															A_				 =						False
															component.append(__a				)
															while w != v:
																				A_				 =						stack.pop()
																				A_				 =						False
																				component.append(__a				)
															components.append(__a				)
										return index

					A_				 =						[]
					for v in range(__a				):
										if index_of[v] == -1:
															strong_connect(__a				,   0				,   __a				)

					return components
def 							A_     (__a				,   __a				):

					'''simple docstring'''





					A_				 =						[[] for _ in range(__a				)]
					for u, v in edges:
										g[u].append(__a				)
					return g


if __name__ == "__main__":
		# Test
		UpperCamelCase_					:						Optional[int]				= 7
		UpperCamelCase_					:						Union[str, Any]				= [0, 0, 1, 2, 3, 3, 4, 4, 6]
		UpperCamelCase_					:						Dict				= [1, 3, 2, 0, 1, 4, 5, 6, 5]
		UpperCamelCase_					:						List[str]				= [(u, v) for u, v in zip(source, target)]
		UpperCamelCase_					:						Optional[int]				= create_graph(n_vertices, edges)

		assert [[5], [6], [4], [3, 2, 1, 0]] == tarjan(g)






"""simple docstring"""





import os

import pytest
from attr import dataclass


UpperCamelCase_					:						str				= '''us-east-1'''  # defaults region



@dataclass
class __lowerCAmelCase				:




			"""simple docstring"""







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




			@property
			def      lowerCamelCase__     (				self						:					int	)      -> 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						:					Any	)      -> str:







								"""simple docstring"""
								return F'{self.framework}-transfromers-test'




			@property
			def      lowerCamelCase__     (				self						:					List[Any]	)      -> str:







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






			@property
			def      lowerCamelCase__     (				self						:					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_     (__a				):

					'''simple docstring'''





					A_				 =						SageMakerTestEnvironment(framework=request.cls.framework				)




