__SCREAMING_SNAKE_CASE						:   Optional[int]         =			[4, 1, 7, 4, 2, 6, 4, 1, 5, 3, 7, 5]
__SCREAMING_SNAKE_CASE						:   Any         =			[3, 7, 7, 4, 2, 6, 4, 1, 5, 3, 7, 5]
__SCREAMING_SNAKE_CASE						:   Union[str, Any]         =			{
    0: 'Sunday',
    1: 'Monday',
    2: 'Tuesday',
    3: 'Wednesday',
    4: 'Thursday',
    5: 'Friday',
    6: 'Saturday',
}
def  snake_case						(__lowercase ,      __lowercase ,      __lowercase						)	->	str:

						'''simple docstring'''



						assert len(str(__lowercase						)						) > 2, "year should be in YYYY format"
						assert 1 <= month <= 12, "month should be between 1 to 12"
						assert 1 <= day <= 31, "day should be between 1 to 31"

						# Doomsday algorithm:
						_snake_case						:					Any    =   year // 100
						_snake_case						:					List[Any]    =   (5 * (century % 4) + 2) % 7
						_snake_case						:					Optional[Any]    =   year % 100
						_snake_case						:					Dict    =   centurian % 12
						_snake_case						:					Union[str, Any]    =   (
						    (centurian // 12) + centurian_m + (centurian_m // 4) + century_anchor
						) % 7
						_snake_case						:					Any    =   (
						    DOOMSDAY_NOT_LEAP[month - 1]
						    if (year % 4 != 0) or (centurian == 0 and (year % 400) == 0)
						    else DOOMSDAY_LEAP[month - 1]
						)
						_snake_case						:					List[str]    =   (dooms_day + day - day_anchor) % 7
						return WEEK_DAY_NAMES[week_day]


if __name__ == "__main__":
				import doctest

				doctest.testmod()
import os

import pytest
from attr import dataclass


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



@dataclass
class        lowercase_   :
							_lowerCamelCase						=		42
							_lowerCamelCase						=		'arn:aws:iam::558105141721:role/sagemaker_execution_role'
							_lowerCamelCase						=		{
							    '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,
							}
							_lowerCamelCase						=		{**hyperparameters, 'max_steps': 1_000}



							@property
							def 	UpperCamelCase	(						self    ):
													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    ):
													return f"""{self.framework}-transfromers-test"""



							@property
							def 	UpperCamelCase	(						self    ):
													return f"""./tests/sagemaker/scripts/{self.framework}"""



							@property
							def 	UpperCamelCase	(						self    ):
													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						(__lowercase						)	->	str:

						'''simple docstring'''



						_snake_case						:					List[str]    =   SageMakerTestEnvironment(framework=request.cls.framework						)