



import os

import pytest
from attr import dataclass


__snake_case						:str						=					'''us-east-1'''  # defaults region

@dataclass
class    _A	:
       UpperCamelCase__  :   str
       UpperCamelCase__  :   Union[str, Any]						 =						'''arn:aws:iam::558105141721:role/sagemaker_execution_role'''
       UpperCamelCase__  :   int						 =						{
           '''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''': 500,
           '''save_steps''': 5_500,
       }
       UpperCamelCase__  :   List[Any]						 =						{**hyperparameters, '''max_steps''': 1_000}



       @property
       def 		_lowerCamelCase      (		self							:					Union[str, Any]):


           '''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 		_lowerCamelCase      (		self							:					int):


           '''simple docstring'''

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



       @property
       def 		_lowerCamelCase      (		self							:					int):


           '''simple docstring'''

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





       @property
       def 		_lowerCamelCase      (		self							:					Any):


           '''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 					__snake_case     (      _UpperCAmelCase    ):
    __a							=    SageMakerTestEnvironment(framework=request.cls.framework    )










import unittest

from transformers import DonutProcessor


__snake_case						:List[str]						=					'''naver-clova-ix/donut-base'''

class    _A	(     unittest.TestCase   ):



       def 		_lowerCamelCase      (		self							:					List[str]):


           '''simple docstring'''

           __a							=    DonutProcessor.from_pretrained(__SCREAMING_SNAKE_CASE)





       def 		_lowerCamelCase      (		self							:					Tuple):


           '''simple docstring'''

           __a							=    {
               '''name''': '''John Doe''',
               '''age''': '''99''',
               '''city''': '''Atlanta''',
               '''state''': '''GA''',
               '''zip''': '''30301''',
               '''phone''': '''123-4567''',
               '''nicknames''': [{'''nickname''': '''Johnny'''}, {'''nickname''': '''JD'''}],
           }

           __a							=    (
               '''<s_name>John Doe</s_name><s_age>99</s_age><s_city>Atlanta</s_city>'''
               '''<s_state>GA</s_state><s_zip>30301</s_zip><s_phone>123-4567</s_phone>'''
               '''<s_nicknames><s_nickname>Johnny</s_nickname>'''
               '''<sep/><s_nickname>JD</s_nickname></s_nicknames>'''
           )
           __a							=    self.processor.tokenajson(__SCREAMING_SNAKE_CASE)

           self.assertDictEqual(__SCREAMING_SNAKE_CASE					,		__SCREAMING_SNAKE_CASE)





