






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




							def 		lowerCamelCase_				(							self:				Dict     ):
														lowerCamelCase__					:	Optional[int]         =       _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     )



from __future__ import annotations

from collections.abc import Iterator




class        UpperCAmelCase_			:


  '''simple docstring'''







  def __init__( self			: Dict			,							UpperCamelCase__			: int    )			->	None:







    """simple docstring"""






    __magic_name__				     =       value
    __magic_name__				     =       None
    __magic_name__				     =       None







class        UpperCAmelCase_			:


  '''simple docstring'''







  def __init__( self			: Union[str, Any]			,							UpperCamelCase__			: Node    )			->	None:







    """simple docstring"""






    __magic_name__				     =       tree
  def 							_lowercase							( self			: Optional[Any]			,							UpperCamelCase__			: Node | None    )			->	int:







    """simple docstring"""






    if node is None:
      return 0
    return node.value + (
        self.depth_first_search(node.left    ) + self.depth_first_search(node.right    )
    )





  def __iter__( self			: int    )			->	Iterator[int]:







    """simple docstring"""






    yield self.depth_first_search(self.tree    )


if __name__ == "__main__":
    import doctest

    doctest.testmod()

