





import os

import pytest
from attr import dataclass


_UpperCAmelCase       : str			     =       """us-east-1"""  # defaults region

@dataclass
class      lowerCAmelCase							:
 UpperCAmelCase__									=	42
 UpperCAmelCase__									=	"""arn:aws:iam::558105141721:role/sagemaker_execution_role"""
 UpperCAmelCase__									=	{
     """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__									=	{**hyperparameters, """max_steps""": 10_00}
 @property
 def   A_			(   self						:   List[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   A_			(   self						:   int			)    ->			str:
     return F"""{self.framework}-transfromers-test"""
 @property
 def   A_			(   self						:   Optional[Any]			)    ->			str:
     return F"""./tests/sagemaker/scripts/{self.framework}"""







 @property
 def   A_			(   self						:   Union[str, Any]			)    ->			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				)    ->  Optional[Any]:
    lowerCamelCase__					:   Optional[int]      				=	SageMakerTestEnvironment(framework=request.cls.framework				)












from __future__ import annotations

from collections.abc import Iterable, Iterator
from dataclasses import dataclass

_UpperCAmelCase       : Union[str, Any]			     =       (3, 9, -11, 0, 7, 5, 1, -1)
_UpperCAmelCase       : Union[str, Any]			     =       (4, 6, 2, 0, 8, 10, 3, -2)

@dataclass
class      lowerCAmelCase							:
 UpperCAmelCase__									=	42
 UpperCAmelCase__									=	42


class      lowerCAmelCase							:
 def __init__(   self						:   Any    ,  UpperCAmelCase						:   Iterable[int]			)    ->			None:
     lowerCamelCase__					:   Node | None      				=	None
     for i in sorted(UpperCAmelCase    ,  reverse=UpperCAmelCase			):
         lowerCamelCase__					:   Tuple      				=	Node(UpperCAmelCase    ,  self.head			)
 def __iter__(   self						:   Optional[int]			)    ->			Iterator[int]:
     lowerCamelCase__					:   str      				=	self.head
     while node:
         yield node.data
         lowerCamelCase__					:   List[str]      				=	node.next_node
 def __len__(   self						:   List[str]			)    ->			int:
     return sum(1 for _ in self			)







 def __str__(   self						:   Any			)    ->			str:
     return " -> ".join([str(UpperCAmelCase			) for node in self]			)


def  SCREAMING_SNAKE_CASE   ( _UpperCAmelCase		,			_UpperCAmelCase				)    ->  SortedLinkedList:
    return SortedLinkedList(list(_UpperCAmelCase				) + list(_UpperCAmelCase				)				)


if __name__ == "__main__":
    import doctest

    doctest.testmod()
    _UpperCAmelCase       : Optional[Any]			     =       SortedLinkedList
    print(merge_lists(SSL(test_data_odd), SSL(test_data_even)))





