
import os

import pytest
from attr import dataclass


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


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


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


       @property
       def 	_snake_case				(    self				)						->    str:
              return F'./tests/sagemaker/scripts/{self.framework}'





       @property
       def 	_snake_case				(    self				)						->    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 							SCREAMING_SNAKE_CASE_	(					UpperCAmelCase_	:     Dict				)			->						Tuple:
       SCREAMING_SNAKE_CASE_							:				Union[str, Any]		=SageMakerTestEnvironment(framework=request.cls.framework				)


from __future__ import annotations
def 							SCREAMING_SNAKE_CASE_	(					UpperCAmelCase_	:     list[int | float]			,							UpperCAmelCase_	:     int			,							UpperCAmelCase_	:     int				)			->						int | float:
       if len(UpperCAmelCase_				) == 0:
              raise ValueError('''find_max() arg is an empty sequence'''				)
       if (
           left >= len(UpperCAmelCase_				)
           or left < -len(UpperCAmelCase_				)
           or right >= len(UpperCAmelCase_				)
           or right < -len(UpperCAmelCase_				)
       ):
              raise IndexError('''list index out of range'''				)
       if left == right:
              return nums[left]
       SCREAMING_SNAKE_CASE_							:				Optional[int]		=(left + right) >> 1  # the middle
       SCREAMING_SNAKE_CASE_							:				Dict		=find_max(UpperCAmelCase_			,							UpperCAmelCase_			,							UpperCAmelCase_				)  # find max in range[left, mid]
       SCREAMING_SNAKE_CASE_							:				Dict		=find_max(UpperCAmelCase_			,							mid + 1			,							UpperCAmelCase_				)  # find max in range[mid + 1, right]

       return left_max if left_max >= right_max else right_max


if __name__ == "__main__":
 import doctest

 doctest.testmod(verbose=True)
