


import os

import pytest
from attr import dataclass


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




@dataclass
class    UpperCAmelCase					:
			lowercase						= 4_2
			lowercase						= """arn:aws:iam::558105141721:role/sagemaker_execution_role"""
			lowercase						= {
			    """task_name""": """mnli""",
			    """per_device_train_batch_size""": 1_6,
			    """per_device_eval_batch_size""": 1_6,
			    """do_train""": True,
			    """do_eval""": True,
			    """do_predict""": True,
			    """output_dir""": """/opt/ml/model""",
			    """overwrite_output_dir""": True,
			    """max_steps""": 5_0_0,
			    """save_steps""": 5_5_0_0,
			}
			lowercase						= {**hyperparameters, """max_steps""": 1_0_0_0}




			@property
			def   lowerCamelCase_					(						self							:		Dict						):







						"""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							:		Union[str, Any]						):







						"""simple docstring"""







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




			@property
			def   lowerCamelCase_					(						self							:		Optional[Any]						):







						"""simple docstring"""







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





			@property
			def   lowerCamelCase_					(						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 							_lowercase    (		SCREAMING_SNAKE_CASE_   :		Tuple	):





			"""simple docstring"""




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



import math
import unittest






def 							_lowercase    (		SCREAMING_SNAKE_CASE_   :		int	):





			"""simple docstring"""




			assert isinstance(SCREAMING_SNAKE_CASE_       ,  SCREAMING_SNAKE_CASE_	) and (
			    number >= 0
			), "'number' must been an int and positive"

			if 1 < number < 4:
						# 2 and 3 are primes
						return True
			elif number < 2 or number % 2 == 0 or number % 3 == 0:
						# Negatives, 0, 1, all even numbers, all multiples of 3 are not primes
						return False

			# All primes number are in format of 6k +/- 1
			for i in range(5       ,  int(math.sqrt(SCREAMING_SNAKE_CASE_	) + 1	)       ,  6	):
						if number % i == 0 or number % (i + 2) == 0:
									return False
			return True




class    UpperCAmelCase					(       unittest.TestCase    ):




			def   lowerCamelCase_					(						self							:		Any						):







						"""simple docstring"""







						self.assertTrue(is_prime(2						)						)
						self.assertTrue(is_prime(3						)						)
						self.assertTrue(is_prime(5						)						)
						self.assertTrue(is_prime(7						)						)
						self.assertTrue(is_prime(1_1						)						)
						self.assertTrue(is_prime(1_3						)						)
						self.assertTrue(is_prime(1_7						)						)
						self.assertTrue(is_prime(1_9						)						)
						self.assertTrue(is_prime(2_3						)						)
						self.assertTrue(is_prime(2_9						)						)





			def   lowerCamelCase_					(						self							:		Dict						):







						"""simple docstring"""







						with self.assertRaises(__magic_name__						):
									is_prime(-1_9						)
						self.assertFalse(
						    is_prime(0						)       ,       """Zero doesn't have any positive factors, primes must have exactly two."""       ,       )
						self.assertFalse(
						    is_prime(1						)       ,       """One only has 1 positive factor, primes must have exactly two."""       ,       )
						self.assertFalse(is_prime(2 * 2						)						)
						self.assertFalse(is_prime(2 * 3						)						)
						self.assertFalse(is_prime(3 * 3						)						)
						self.assertFalse(is_prime(3 * 5						)						)
						self.assertFalse(is_prime(3 * 5 * 7						)						)


if __name__ == "__main__":
			unittest.main()




