



import os

import pytest
from attr import dataclass


snake_case_			:     int  	=  'us-east-1'  # defaults region






@dataclass
class 							lowercase__     :
	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      UpperCamelCase_  (			self :    int			):







							'''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      UpperCamelCase_  (			self :    List[str]			):







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





	@property
	def      UpperCamelCase_  (			self :    List[Any]			):







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





	@property
	def      UpperCamelCase_  (			self :    Union[str, Any]			):







							'''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__   (					UpperCAmelCase_							):
						_UpperCamelCase :		Optional[Any]			    =       SageMakerTestEnvironment(framework=request.cls.framework							)







'''simple docstring'''
from __future__ import annotations






def A__   (					UpperCAmelCase_							):
						if not nums:
												return 0
						_UpperCamelCase :		Any			    =       nums[0]
						_UpperCamelCase :		Optional[int]			    =       0
						for num in nums[1:]:
												_UpperCamelCase    ,      _UpperCamelCase :		Optional[Any]			    =       (
												    max_excluding + num,
												    max(UpperCAmelCase_  ,  UpperCAmelCase_							),
												)
						return max(UpperCAmelCase_  ,  UpperCAmelCase_							)


if __name__ == "__main__":
					import doctest

					doctest.testmod()


