




"""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     lowercase_	(					__lowerCAmelCase							):



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



 '''simple docstring'''

 def       lowerCAmelCase_							(			self	:	Tuple		):
       # If no defaults are changed, `to_kwargs` returns an empty dict.
       _A        =       _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		)







"""simple docstring"""

def 						_snake_case					( _snake_case							: int							)   -> list:






      '''simple docstring'''


      _A        =       int(_snake_case							)
      if n_element < 1:
            _A        =       ValueError('a should be a positive number'							)
            raise my_error

      _A        =       [1]
      _A       ,   _A       ,   _A        =       (0, 0, 0)
      _A        =       1
      while index < n_element:
            while hamming_list[i] * 2 <= hamming_list[-1]:
                  i += 1
            while hamming_list[j] * 3 <= hamming_list[-1]:
                  j += 1
            while hamming_list[k] * 5 <= hamming_list[-1]:
                  k += 1
            hamming_list.append(
                min(hamming_list[i] * 2    ,  hamming_list[j] * 3    ,  hamming_list[k] * 5							)							)
            index += 1
      return hamming_list


if __name__ == "__main__":
       a         =      input('''Enter the last number (nth term) of the Hamming Number Series: ''')
       print('''Formula of Hamming Number Series => 2^i * 3^j * 5^k''')
       a         =      hamming(int(n))
       print('''-----------------------------------------------------''')
       print(F'''The list with nth numbers is: {hamming_numbers}''')
       print('''-----------------------------------------------------''')

