





class  __UpperCamelCase						:





     def __init__(    self				):
        _UpperCAmelCase											=      [0, 1]





     def 		UpperCamelCase(    self							,       _UpperCamelCase				):
        if (difference := index - (len(self.sequence				) - 2)) >= 1:
           for _ in range(_lowerCAmelCase				):
              self.sequence.append(self.sequence[-1] + self.sequence[-2]				)
        return self.sequence[:index]




def     A__					(						)     ->     None:






   """simple docstring"""







   print(
       '''Fibonacci Series Using Dynamic Programming\n'''							,  '''Enter the index of the Fibonacci number you want to calculate '''							,  '''in the prompt below. (To exit enter exit or Ctrl-C)\n'''							,  sep=''''''							,  )
   _UpperCAmelCase											=      Fibonacci()

   while True:
      _UpperCAmelCase											=      input('''>> '''	)
      if prompt in {"exit", "quit"}:
         break

      try:
         _UpperCAmelCase											=      int(SCREAMING_SNAKE_CASE_	)
      except ValueError:
         print('''Enter a number or \'exit\''''	)
         continue

      print(fibonacci.get(SCREAMING_SNAKE_CASE_	)	)


if __name__ == "__main__":
   main()






from ...configuration_utils import PretrainedConfig
from ...utils import logging


UpperCAmelCase_											=  logging.get_logger(__name__)

UpperCAmelCase_											=  {
    "tau/splinter-base": "https://huggingface.co/tau/splinter-base/resolve/main/config.json",
    "tau/splinter-base-qass": "https://huggingface.co/tau/splinter-base-qass/resolve/main/config.json",
    "tau/splinter-large": "https://huggingface.co/tau/splinter-large/resolve/main/config.json",
    "tau/splinter-large-qass": "https://huggingface.co/tau/splinter-large-qass/resolve/main/config.json",
    # See all Splinter models at https://huggingface.co/models?filter=splinter
}




class  __UpperCamelCase						(       A__						):
     __A  :     Tuple            =      """splinter"""





     def __init__(    self							,       _UpperCamelCase=30522							,       _UpperCamelCase=768							,       _UpperCamelCase=12							,       _UpperCamelCase=12							,       _UpperCamelCase=3072							,       _UpperCamelCase="gelu"							,       _UpperCamelCase=0.1							,       _UpperCamelCase=0.1							,       _UpperCamelCase=512							,       _UpperCamelCase=2							,       _UpperCamelCase=0.02							,       _UpperCamelCase=1e-12							,       _UpperCamelCase=True							,       _UpperCamelCase=0							,       _UpperCamelCase=104							,       **_UpperCamelCase							,       ):
        super().__init__(pad_token_id=_UpperCamelCase							,       **_UpperCamelCase				)

        _UpperCAmelCase											=      vocab_size
        _UpperCAmelCase											=      max_position_embeddings
        _UpperCAmelCase											=      hidden_size
        _UpperCAmelCase											=      num_hidden_layers
        _UpperCAmelCase											=      num_attention_heads
        _UpperCAmelCase											=      intermediate_size
        _UpperCAmelCase											=      hidden_act
        _UpperCAmelCase											=      hidden_dropout_prob
        _UpperCAmelCase											=      attention_probs_dropout_prob
        _UpperCAmelCase											=      initializer_range
        _UpperCAmelCase											=      type_vocab_size
        _UpperCAmelCase											=      layer_norm_eps
        _UpperCAmelCase											=      use_cache
        _UpperCAmelCase											=      question_token_id