'''simple docstring'''

import fire

from transformers import AutoConfig, AutoModelForSeqaSeqLM, AutoTokenizer







def __UpperCamelCase(   _A					:				str  ,			_A					:				str  ,			**_A					:				Dict    ):
   '''simple docstring'''
   UpperCAmelCase__							:				Any   				=  AutoConfig.from_pretrained(_A  ,			**_A    )
   UpperCAmelCase__							:				Dict   				=  AutoModelForSeqaSeqLM.from_config(_A    )
   model.save_pretrained(_A    )
   AutoTokenizer.from_pretrained(_A    ).save_pretrained(_A    )
   return model


if __name__ == "__main__":
  fire.Fire(save_randomly_initialized_version)





'''simple docstring'''

import math







def __UpperCamelCase(   _A					:				float  ,			_A					:				float    ):
   '''simple docstring'''
   return math.pow(_A  ,			2    ) - a







def __UpperCamelCase(   _A					:				float    ):
   '''simple docstring'''
   return 2 * x







def __UpperCamelCase(   _A					:				float    ):
   '''simple docstring'''
   UpperCAmelCase__							:				int   				=  2.0

   while start <= a:
      UpperCAmelCase__							:				int   				=  math.pow(_A  ,			2    )

   return start







def __UpperCamelCase(   _A					:				float  ,			_A					:				int = 99_99  ,			_A					:				float = 0.0_0_0_0_0_0_0_0_0_0_0_0_0_1    ):
   '''simple docstring'''

   if a < 0:
      raise ValueError('''math domain error'''    )

   UpperCAmelCase__							:				Any   				=  get_initial_point(_A    )

   for _ in range(_A    ):
      UpperCAmelCase__							:				Optional[Any]   				=  value
      UpperCAmelCase__							:				Tuple   				=  value - fx(_A  ,			_A    ) / fx_derivative(_A    )
      if abs(prev_value - value    ) < tolerance:
         return value

   return value


if __name__ == "__main__":
  from doctest import testmod

  testmod()




