



"""simple docstring"""






import os

import pytest
from attr import dataclass


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

@dataclass
class 	__SCREAMING_SNAKE_CASE     :


					'''simple docstring'''





					_a             =							42
					_a             =							'arn:aws:iam::558105141721:role/sagemaker_execution_role'
					_a             =							{
					    '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             =							{**hyperparameters, 'max_steps': 1_0_0_0}



					@property
					def 		snake_case	(	self							:  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 		snake_case	(	self							:  Dict					)-> str:
								return F'''{self.framework}-transfromers-test'''



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




					@property
					def 		snake_case	(	self							:  Tuple					)-> 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 					snake_case__       (		__lowerCamelCase    :   Tuple     ):
			"""simple docstring"""
			lowerCamelCase__		:		Union[str, Any]		     =SageMakerTestEnvironment(framework=request.cls.framework     )









"""simple docstring"""






from ..utils import DummyObject, requires_backends

class 	__SCREAMING_SNAKE_CASE     (				metaclass=lowerCAmelCase_       ):


					'''simple docstring'''





					_a             =							['torch', 'torchsde']



					def __init__(	self							:  Union[str, Any],  *lowerCamelCase							:  str,  **lowerCamelCase							:  int					)-> Tuple:
								requires_backends(self,  ['''torch''', '''torchsde''']					)



					@classmethod
					def 		snake_case	(	cls							:  List[str],  *lowerCamelCase							:  Optional[Any],  **lowerCamelCase							:  Dict					)-> str:
								requires_backends(cls,  ['''torch''', '''torchsde''']					)




					@classmethod
					def 		snake_case	(	cls							:  Tuple,  *lowerCamelCase							:  Dict,  **lowerCamelCase							:  Tuple					)-> List[str]:
								requires_backends(cls,  ['''torch''', '''torchsde''']					)




