






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




class     __SCREAMING_SNAKE_CASE					(   unittest.TestCase):






						def       UpperCamelCase__      (	self   ):






												"""simple docstring"""
												lowerCAmelCase__    						=						_convert_nargs_to_dict(MockLaunchConfig.success_training_script_args   )
												assert isinstance(converted_args['model_name_or_path']     ,						_UpperCamelCase   )
												assert isinstance(converted_args['do_train']     ,						_UpperCamelCase   )
												assert isinstance(converted_args['epochs']     ,						_UpperCamelCase   )
												assert isinstance(converted_args['learning_rate']     ,						_UpperCamelCase   )
												assert isinstance(converted_args['max_steps']     ,						_UpperCamelCase   )

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













def 	_UpperCamelCase   (    UpperCamelCase_       :					int		)  ->   int:

						"""simple docstring"""



						if not isinstance(UpperCamelCase_    ,       UpperCamelCase_		):
												raise ValueError('multiplicative_persistence() only accepts integral values'		)
						if num < 0:
												raise ValueError('multiplicative_persistence() does not accept negative values'		)

						lowerCAmelCase__    						=						0
						lowerCAmelCase__    						=						str(UpperCamelCase_		)

						while len(UpperCamelCase_		) != 1:
												lowerCAmelCase__    						=						[int(UpperCamelCase_		) for i in num_string]

												lowerCAmelCase__    						=						1
												for i in range(0    ,       len(UpperCamelCase_		)		):
																		total *= numbers[i]

												lowerCAmelCase__    						=						str(UpperCamelCase_		)

												steps += 1
						return steps







def 	_UpperCamelCase   (    UpperCamelCase_       :					int		)  ->   int:

						"""simple docstring"""



						if not isinstance(UpperCamelCase_    ,       UpperCamelCase_		):
												raise ValueError('additive_persistence() only accepts integral values'		)
						if num < 0:
												raise ValueError('additive_persistence() does not accept negative values'		)

						lowerCAmelCase__    						=						0
						lowerCAmelCase__    						=						str(UpperCamelCase_		)

						while len(UpperCamelCase_		) != 1:
												lowerCAmelCase__    						=						[int(UpperCamelCase_		) for i in num_string]

												lowerCAmelCase__    						=						0
												for i in range(0    ,       len(UpperCamelCase_		)		):
																		total += numbers[i]

												lowerCAmelCase__    						=						str(UpperCamelCase_		)

												steps += 1
						return steps


if __name__ == "__main__":
					import doctest

					doctest.testmod()





