




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






      def 							lowercase_						( self   :  int       ):


           '''simple docstring'''

           a_     :							Optional[Any]     						=  _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       )






'''simple docstring'''


from ..utils import DummyObject, requires_backends







class      SCREAMING_SNAKE_CASE    (						metaclass=snake_case_				):
      __magic_name__  :       Dict   							=					['''transformers''', '''torch''', '''note_seq''']






      def __init__( self   :  List[str]						,						*lowercase__   :  Dict						,						**lowercase__   :  int       ):


           '''simple docstring'''

           requires_backends(self						,						["""transformers""", """torch""", """note_seq"""]       )






      @classmethod
      def 							lowercase_						( cls   :  Dict						,						*lowercase__   :  List[str]						,						**lowercase__   :  str       ):


           '''simple docstring'''

           requires_backends(cls						,						["""transformers""", """torch""", """note_seq"""]       )






      @classmethod
      def 							lowercase_						( cls   :  str						,						*lowercase__   :  Optional[int]						,						**lowercase__   :  Any       ):


           '''simple docstring'''

           requires_backends(cls						,						["""transformers""", """torch""", """note_seq"""]       )
