


"""simple docstring"""
import os

import pytest
from attr import dataclass


__SCREAMING_SNAKE_CASE							:    Tuple		=    'us-east-1'  # defaults region





@dataclass
class      __A     :





							'''simple docstring'''

							__lowercase:		str
							__lowercase:		Optional[Any]							      =    """arn:aws:iam::558105141721:role/sagemaker_execution_role"""
							__lowercase:		str							      =    {
							    """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,
							}
							__lowercase:		Dict							      =    {**hyperparameters, """max_steps""": 10_00}



							@property
							def 		lowerCAmelCase       (				self							:      Any       )					->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 		lowerCAmelCase       (				self							:      Optional[int]       )					->str:



														"""simple docstring"""



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



							@property
							def 		lowerCAmelCase       (				self							:      Any       )					->str:



														"""simple docstring"""



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



							@property
							def 		lowerCAmelCase       (				self							:      Any       )					->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     _a				(      _SCREAMING_SNAKE_CASE				)    ->				List[Any]:
							snake_case_           =		SageMakerTestEnvironment(framework=request.cls.framework				)







"""simple docstring"""
__SCREAMING_SNAKE_CASE							:    str		=    'Input must be a string of 8 numbers plus letter'
__SCREAMING_SNAKE_CASE							:    Dict		=    'TRWAGMYFPDXBNJZSQVHLCKE'







def 						_a				(      _SCREAMING_SNAKE_CASE				)    ->				bool:

							if not isinstance(_SCREAMING_SNAKE_CASE				, _SCREAMING_SNAKE_CASE				):
														snake_case_           =		f"""Expected string as input, found {type(_SCREAMING_SNAKE_CASE				).__name__}"""
														raise TypeError(_SCREAMING_SNAKE_CASE				)

							snake_case_           =		spanish_id.replace("""-"""				, """"""				).upper()
							if len(_SCREAMING_SNAKE_CASE				) != 9:
														raise ValueError(_SCREAMING_SNAKE_CASE				)

							try:
														snake_case_           =		int(spanish_id_clean[0:8]				)
														snake_case_           =		spanish_id_clean[8]
							except ValueError as ex:
														raise ValueError(_SCREAMING_SNAKE_CASE				) from ex

							if letter.isdigit():
														raise ValueError(_SCREAMING_SNAKE_CASE				)

							return letter == LOOKUP_LETTERS[number % 23]


if __name__ == "__main__":
				import doctest

				doctest.testmod()



