
import os

import pytest
from attr import dataclass


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







@dataclass
class 					lowerCamelCase		:
     UpperCAmelCase__    :							str
     UpperCAmelCase__    :							Optional[int]									=		"arn:aws:iam::558105141721:role/sagemaker_execution_role"
     UpperCAmelCase__    :							List[Any]									=		{
         "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,
     }
     UpperCAmelCase__    :							str									=		{**hyperparameters, "max_steps": 10_00}





     @property
     def 		UpperCAmelCase(self				:   Union[str, Any]       )						->						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 		UpperCAmelCase(self				:   Optional[int]       )						->						str:
         return f'{self.framework}-transfromers-test'





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





     @property
     def 		UpperCAmelCase(self				:   Dict       )						->						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 						lowercase_      (       A__		)							->							int:
    """simple docstring"""

    snake_case								= SageMakerTestEnvironment(framework=request.cls.framework		)



from __future__ import annotations



def 						lowercase_      (       A__			,		A__			,		A__		)							->							int | float:
    """simple docstring"""

    if len(A__		) == 0:
        raise ValueError("find_max() arg is an empty sequence"		)
    if (
        left >= len(A__		)
        or left < -len(A__		)
        or right >= len(A__		)
        or right < -len(A__		)
    ):
        raise IndexError("list index out of range"		)
    if left == right:
        return nums[left]
    snake_case								= (left + right) >> 1  # the middle
    snake_case								= find_max(A__			,		A__			,		A__		)  # find max in range[left, mid]
    snake_case								= find_max(A__			,		mid + 1			,		A__		)  # 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)

