





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



class    A__  (			unittest.TestCase     ):





      def 			__UpperCamelCase(					self  ):
       '''simple docstring'''




       UpperCamelCase      :   int			      =  _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  )







__lowerCamelCase			:	Any					    =	9.8_0_6_6_5



def 						A_							(	_lowerCAmelCase				,  _lowerCAmelCase				,  _lowerCAmelCase = g	)		->					float:

 if fluid_density <= 0:
  raise ValueError("Impossible fluid density"	)
 if volume < 0:
  raise ValueError("Impossible Object volume"	)
 if gravity <= 0:
  raise ValueError("Impossible Gravity"	)

 return fluid_density * gravity * volume


if __name__ == "__main__":
    import doctest

    # run doctest
    doctest.testmod()
