

import os

import pytest
from attr import dataclass


lowerCAmelCase				:    Tuple        =		"us-east-1"  # defaults region



@dataclass
class     __lowercase							:




			"""simple docstring"""







			_UpperCAmelCase  :				Optional[int]     				=	42
			_UpperCAmelCase  :				int     				=	'''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[int]     				=	{**hyperparameters, '''max_steps''': 1000}



			@property
			def 			_SCREAMING_SNAKE_CASE     (					self    :	Tuple):






									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 			_SCREAMING_SNAKE_CASE     (					self    :	Union[str, Any]):
									return F"{self.framework}-transfromers-test"



			@property
			def 			_SCREAMING_SNAKE_CASE     (					self    :	Optional[Any]):
									return F"./tests/sagemaker/scripts/{self.framework}"




			@property
			def 			_SCREAMING_SNAKE_CASE     (					self    :	Any):






									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_ (       _UpperCAmelCase       ):
						SCREAMING_SNAKE_CASE_:					Dict    						=			SageMakerTestEnvironment(framework=request.cls.framework       )












import numpy as np


def 		lowerCamelCase__       (						_A				):







	'''simple docstring'''





	return (2 / (1 + np.exp(-2 * vector				))) - 1


if __name__ == "__main__":
		import doctest

		doctest.testmod()
