





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




      def     lowercase__   (      self      :			Tuple  )    ->				List[Any]:
            _lowerCAmelCase												=							_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  )













'''simple docstring'''






def        UpperCamelCase__				(		lowerCAmelCase							,     lowerCAmelCase  ):





      """simple docstring"""


      if not (isinstance(lowerCAmelCase							,     lowerCAmelCase  ) and isinstance(lowerCAmelCase							,     lowerCAmelCase  )):
            raise ValueError("""longest_common_substring() takes two strings for inputs"""  )

      _lowerCAmelCase												=							len(lowerCAmelCase  )
      _lowerCAmelCase												=							len(lowerCAmelCase  )

      _lowerCAmelCase												=							[[0] * (texta_length + 1) for _ in range(texta_length + 1  )]
      _lowerCAmelCase												=							0
      _lowerCAmelCase												=							0

      for i in range(1							,     texta_length + 1  ):
            for j in range(1							,     texta_length + 1  ):
                  if texta[i - 1] == texta[j - 1]:
                        _lowerCAmelCase												=							1 + dp[i - 1][j - 1]
                        if dp[i][j] > ans_length:
                              _lowerCAmelCase												=							i
                              _lowerCAmelCase												=							dp[i][j]

      return texta[ans_index - ans_length : ans_index]


if __name__ == "__main__":
      import doctest

      doctest.testmod()






