

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





def 					_UpperCAmelCase       (  ):





    """simple docstring"""


    for n in range(1 ,   1_000_000       ):
        yield n * (n + 1) // 2


def 					_UpperCAmelCase       (  _SCREAMING_SNAKE_CASE					:		Tuple       ):





    """simple docstring"""


    SCREAMING_SNAKE_CASE_									=						1
    SCREAMING_SNAKE_CASE_									=						2
    while i * i <= n:
        SCREAMING_SNAKE_CASE_									=						0
        while n % i == 0:
            n //= i
            multiplicity += 1
        divisors_count *= multiplicity + 1
        i += 1
    if n > 1:
        divisors_count *= 2
    return divisors_count


def 					_UpperCAmelCase       (  ):





    """simple docstring"""


    return next(i for i in triangle_number_generator() if count_divisors(_SCREAMING_SNAKE_CASE       ) > 500       )


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


