
import math



def 	UpperCamelCase   (							lowerCAmelCase__		):
					'''simple docstring'''
					assert isinstance(lowerCAmelCase__			,      lowerCAmelCase__		) 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 not number % 2:
										# Negatives, 0, 1 and all even numbers are not primes
										return False

					lowercase						     =						range(3			,      int(math.sqrt(lowerCAmelCase__		) + 1		)			,      2		)
					return not any(not number % i for i in odd_numbers		)



def 	UpperCamelCase   (							lowerCAmelCase__			,      lowerCAmelCase__=1			,      **lowerCAmelCase__		):
					'''simple docstring'''
					lowercase						     =						factor * value
					lowercase						     =						value

					while not is_prime(lowerCAmelCase__		):
										value += 1 if not ("desc" in kwargs and kwargs["desc"] is True) else -1

					if value == first_value_val:
										return next_prime(value + 1			,      **lowerCAmelCase__		)
					return value






import unittest
from dataclasses import dataclass

import pytest

from accelerate.commands.config.config_args import SageMakerConfig
from accelerate.utils import ComputeEnvironment
from accelerate.utils.launch import _convert_nargs_to_dict







@dataclass
class     lowercase		( SCREAMING_SNAKE_CASE__		):
							lowercase_	:	int	 =ComputeEnvironment.AMAZON_SAGEMAKER
							lowercase_	:	Optional[int]	 =True
							lowercase_	:	Any	 ='''ml.p3.2xlarge'''
							lowercase_	:	Any	 ='''accelerate_sagemaker_execution_role'''
							lowercase_	:	Union[str, Any]	 ='''hf-sm'''
							lowercase_	:	Any	 ='''us-east-1'''
							lowercase_	:	List[str]	 =1
							lowercase_	:	Any	 ='''accelerate-sagemaker-1'''
							lowercase_	:	Union[str, Any]	 ='''1.6'''
							lowercase_	:	Any	 ='''4.4'''
							lowercase_	:	Any	 ='''train.py'''
							lowercase_	:	int	 =[
							    '''--model_name_or_path''',
							    '''bert''',
							    '''--do_train''',
							    '''False''',
							    '''--epochs''',
							    '''3''',
							    '''--learning_rate''',
							    '''5e-5''',
							    '''--max_steps''',
							    '''50.5''',
							]
							lowercase_	:	List[Any]	 =[
							    '''--model_name_or_path''',
							    '''bert''',
							    '''--do_train''',
							    '''--do_test''',
							    '''False''',
							    '''--do_predict''',
							    '''--epochs''',
							    '''3''',
							    '''--learning_rate''',
							    '''5e-5''',
							    '''--max_steps''',
							    '''50.5''',
							]







class     lowercase		( unittest.TestCase		):




							def 			A__				(    self):
												# If no defaults are changed, `to_kwargs` returns an empty dict.
												lowercase						     =						_convert_nargs_to_dict(MockLaunchConfig.success_training_script_args)
												assert isinstance(converted_args['''model_name_or_path''']       ,A__)
												assert isinstance(converted_args['''do_train''']       ,A__)
												assert isinstance(converted_args['''epochs''']       ,A__)
												assert isinstance(converted_args['''learning_rate''']       ,A__)
												assert isinstance(converted_args['''max_steps''']       ,A__)

												with pytest.raises(A__):
																	_convert_nargs_to_dict(MockLaunchConfig.fail_training_script_args)




