






'''simple docstring'''





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



class 		_snake_case  (  unittest.TestCase					):






			def    SCREAMING_SNAKE_CASE__    (       self)      ->       Dict:
						# If no defaults are changed, `to_kwargs` returns an empty dict.
						SCREAMING_SNAKE_CASE						= _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)












import os

# Precomputes a list of the 100 first triangular numbers
a_		:						str             =    [int(0.5 * n * (n + 1)) for n in range(1, 1_01)]






def 				lowerCamelCase__				():
			SCREAMING_SNAKE_CASE						= os.path.dirname(os.path.realpath(_UpperCAmelCase))
			SCREAMING_SNAKE_CASE						= os.path.join(_UpperCAmelCase							,       'words.txt')

			SCREAMING_SNAKE_CASE						= ''
			with open(_UpperCAmelCase) as f:
						SCREAMING_SNAKE_CASE						= f.readline()

			SCREAMING_SNAKE_CASE						= [word.strip('"') for word in words.strip('\r\n').split(',')]
			SCREAMING_SNAKE_CASE						= [
			    word
			    for word in [sum(ord(_UpperCAmelCase) - 64 for x in word) for word in words]
			    if word in TRIANGULAR_NUMBERS
			]
			return len(_UpperCAmelCase)


if __name__ == "__main__":
				print(solution())




