

import os

import pytest
from attr import dataclass


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

@dataclass
class     __snake_case    :
       """simple docstring"""







       __SCREAMING_SNAKE_CASE				    =							42
       __SCREAMING_SNAKE_CASE				    =							"arn:aws:iam::558105141721:role/sagemaker_execution_role"
       __SCREAMING_SNAKE_CASE				    =							{
           "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,
       }
       __SCREAMING_SNAKE_CASE				    =							{**hyperparameters, "max_steps": 10_00}


       @property
       def 			a		(		self   )      ->							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 			a		(		self   )      ->							str:






              """simple docstring"""


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


       @property
       def 			a		(		self   )      ->							str:






              """simple docstring"""


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






       @property
       def 			a		(		self   )      ->							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__      ( __A    :Union[str, Any]		):


       """simple docstring"""




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




import warnings

from ...utils import logging
from .image_processing_yolos import YolosImageProcessor


UpperCamelCase__		 =     logging.get_logger(__name__)

class     __snake_case    (				snake_case__  ):
       """simple docstring"""







       def __init__(		self      , *_UpperCamelCase      , **_UpperCamelCase   )      ->							None:






              """simple docstring"""


              warnings.warn(
                  """The class YolosFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please"""
                  """ use YolosImageProcessor instead."""      , _UpperCamelCase      , )
              super().__init__(*_UpperCamelCase      , **_UpperCamelCase   )

