


"""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       SCREAMING_SNAKE_CASE__				(		lowerCamelCase_				):
       """simple docstring"""


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


class       SCREAMING_SNAKE_CASE__				(		unittest.TestCase				):
       """simple docstring"""


       def        lowercase__							(						self						):






         """simple docstring"""





         lowerCAmelCase     :     Tuple								=							_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						)






from numpy import exp, pi, sqrt



def 	__SCREAMING_SNAKE_CASE  (					__UpperCamelCase    :       Any ,     __UpperCamelCase    :       float = 0.0 ,     __UpperCamelCase    :       float = 1.0	)							->					int:







  """simple docstring"""





  return 1 / sqrt(2 * pi * sigma**2	) * exp(-((x - mu) ** 2) / (2 * sigma**2)	)


if __name__ == "__main__":
   import doctest

   doctest.testmod()
