


'''simple docstring'''


import os

import pytest
from attr import dataclass


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






@dataclass
class 		lowerCAmelCase__	:
			lowerCAmelCase       :		str
			lowerCAmelCase       :		Any				      =   "arn:aws:iam::558105141721:role/sagemaker_execution_role"
			lowerCAmelCase       :		Dict				      =   {
			    "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": 5_500,
			}
			lowerCAmelCase       :		Optional[Any]				      =   {**hyperparameters, "max_steps": 1_000}




			@property
			def 							lowerCAmelCase__			(						self     :   Optional[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     :   Optional[int]       )      ->str:



					'''simple docstring'''







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




			@property
			def 							lowerCAmelCase__			(						self     :   Optional[int]       )      ->str:



					'''simple docstring'''







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






			@property
			def 							lowerCAmelCase__			(						self     :   Dict       )      ->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        __lowerCAmelCase       (__lowerCAmelCase      ):
		_UpperCAmelCase						:				Union[str, Any]	    =					SageMakerTestEnvironment(framework=request.cls.framework      )







'''simple docstring'''


def        __lowerCAmelCase       (__lowerCAmelCase					,       __lowerCAmelCase      ):

		if density <= 0:
				raise ValueError("Impossible fluid density"      )
		if bulk_modulus <= 0:
				raise ValueError("Impossible bulk modulus"      )

		return (bulk_modulus / density) ** 0.5


if __name__ == "__main__":
						import doctest

						doctest.testmod()



