


"""simple docstring"""






from timeit import timeit
def      lowerCamelCase       (     _UpperCamelCase		:      int							)		->       int:

							'''simple docstring'''



							if number < 0:
														raise ValueError("""the value of input must not be negative"""							)
							__UpperCAmelCase   :						List[Any]      							=					0
							while number:
														number &= number - 1
														result += 1
							return result
def      lowerCamelCase       (     _UpperCamelCase		:      int							)		->       int:

							'''simple docstring'''



							if number < 0:
														raise ValueError("""the value of input must not be negative"""							)
							__UpperCAmelCase   :						Tuple      							=					0
							while number:
														if number % 2 == 1:
																					result += 1
														number >>= 1
							return result
def      lowerCamelCase       (     )		->       None:

							'''simple docstring'''



							def do_benchmark(_UpperCamelCase		:      int							) -> None:
														__UpperCAmelCase   :						List[Any]      							=					"""import __main__ as z"""
														print(f'''Benchmark when {number = }:'''							)
														print(f'''{get_set_bits_count_using_modulo_operator(__UpperCamelCase							) = }'''							)
														__UpperCAmelCase   :						int      							=					timeit("""z.get_set_bits_count_using_modulo_operator(25)"""       ,			setup=__UpperCamelCase							)
														print(f'''timeit() runs in {timing} seconds'''							)
														print(f'''{get_set_bits_count_using_brian_kernighans_algorithm(__UpperCamelCase							) = }'''							)
														__UpperCAmelCase   :						List[Any]      							=					timeit(
														    """z.get_set_bits_count_using_brian_kernighans_algorithm(25)"""       ,			setup=__UpperCamelCase       ,			)
														print(f'''timeit() runs in {timing} seconds'''							)

							for number in (2_5, 3_7, 5_8, 0):
														do_benchmark(__UpperCamelCase							)
														print()


if __name__ == "__main__":
							import doctest

							doctest.testmod()
							benchmark()

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_														=							ComputeEnvironment.AMAZON_SAGEMAKER
   lowerCAmelCase_														=							True
   lowerCAmelCase_														=							"ml.p3.2xlarge"
   lowerCAmelCase_														=							"accelerate_sagemaker_execution_role"
   lowerCAmelCase_														=							"hf-sm"
   lowerCAmelCase_														=							"us-east-1"
   lowerCAmelCase_														=							1
   lowerCAmelCase_														=							"accelerate-sagemaker-1"
   lowerCAmelCase_														=							"1.6"
   lowerCAmelCase_														=							"4.4"
   lowerCAmelCase_														=							"train.py"
   lowerCAmelCase_														=							[
       "--model_name_or_path",
       "bert",
       "--do_train",
       "False",
       "--epochs",
       "3",
       "--learning_rate",
       "5e-5",
       "--max_steps",
       "50.5",
   ]
   lowerCAmelCase_														=							[
       "--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 	__a						(    self			:				List[Any]      ):



     """simple docstring"""






     SCREAMING_SNAKE_CASE__										=      _convert_nargs_to_dict(MockLaunchConfig.success_training_script_args      )
     assert isinstance(converted_args["""model_name_or_path"""]       ,	_lowercase      )
     assert isinstance(converted_args["""do_train"""]       ,	_lowercase      )
     assert isinstance(converted_args["""epochs"""]       ,	_lowercase      )
     assert isinstance(converted_args["""learning_rate"""]       ,	_lowercase      )
     assert isinstance(converted_args["""max_steps"""]       ,	_lowercase      )

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