

import os

import pytest
from attr import dataclass


_lowerCamelCase    :       Union[str, Any]        =							"us-east-1"  # defaults region





@dataclass
class  __UpperCAmelCase					:
   UpperCamelCase       					=					42
   UpperCamelCase       					=					"""arn:aws:iam::558105141721:role/sagemaker_execution_role"""
   UpperCamelCase       					=					{
       """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,
   }
   UpperCamelCase       					=					{**hyperparameters, """max_steps""": 1_0_0_0}



   @property
   def 	__magic_name__   (							self							:					List[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 	__magic_name__   (							self							:					Any						):
     return F'''{self.framework}-transfromers-test'''



   @property
   def 	__magic_name__   (							self							:					Dict						):
     return F'''./tests/sagemaker/scripts/{self.framework}'''





   @property
   def 	__magic_name__   (							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							:      List[str]      )  ->						Optional[int]:
  UpperCAmelCase	:							Dict						=			SageMakerTestEnvironment(framework=request.cls.framework      )








from ..utils import DummyObject, requires_backends





class  __UpperCAmelCase					(	metaclass=lowerCamelCase__						):
   UpperCamelCase       					=					["""onnx"""]



   def __init__(							self							:					int,		*__A							:					Optional[Any],		**__A							:					Dict						):
     requires_backends(self,		['''onnx''']						)



   @classmethod
   def 	__magic_name__   (							cls							:					Any,		*__A							:					Any,		**__A							:					Dict						):
     requires_backends(cls,		['''onnx''']						)





   @classmethod
   def 	__magic_name__   (							cls							:					Tuple,		*__A							:					List[str],		**__A							:					List[str]						):
     requires_backends(cls,		['''onnx''']						)





