



class 	__lowerCAmelCase       :




 def __init__(  self			):



    '''simple docstring'''
    __lowerCamelCase  							=      [0, 1]




 def     lowerCamelCase (  self		,			__UpperCAmelCase			):



    '''simple docstring'''
    if (difference := index - (len(self.sequence			) - 2)) >= 1:
       for _ in range(__UpperCAmelCase			):
          self.sequence.append(self.sequence[-1] + self.sequence[-2]			)
    return self.sequence[:index]





def 						a__     (						):
   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=''''''	,)
   __lowerCamelCase  							=      Fibonacci()

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

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

      print(fibonacci.get(_UpperCamelCase							)							)


if __name__ == "__main__":
  main()











from typing import Optional, Tuple

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_openai import OpenAIGPTTokenizer


a_								=   logging.get_logger(__name__)

a_								=   {"""vocab_file""": """vocab.json""", """merges_file""": """merges.txt""", """tokenizer_file""": """tokenizer.json"""}

a_								=   {
    """vocab_file""": {"""openai-gpt""": """https://huggingface.co/openai-gpt/resolve/main/vocab.json"""},
    """merges_file""": {"""openai-gpt""": """https://huggingface.co/openai-gpt/resolve/main/merges.txt"""},
    """tokenizer_file""": {"""openai-gpt""": """https://huggingface.co/openai-gpt/resolve/main/tokenizer.json"""},
}

a_								=   {
    """openai-gpt""": 512,
}



class 	__lowerCAmelCase       (		lowerCAmelCase__				):
 lowerCAmelCase__       =					VOCAB_FILES_NAMES
 lowerCAmelCase__       =					PRETRAINED_VOCAB_FILES_MAP
 lowerCAmelCase__       =					PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
 lowerCAmelCase__       =					["""input_ids""", """attention_mask"""]
 lowerCAmelCase__       =					OpenAIGPTTokenizer




 def __init__(  self		,			__UpperCAmelCase=None		,			__UpperCAmelCase=None		,			__UpperCAmelCase=None		,			__UpperCAmelCase="<unk>"		,			**__UpperCAmelCase			):



    '''simple docstring'''
    super().__init__(__UpperCAmelCase		,			__UpperCAmelCase		,			tokenizer_file=__UpperCAmelCase		,			unk_token=__UpperCAmelCase		,			**__UpperCAmelCase			)




 @property
 def     lowerCamelCase (  self			):



    '''simple docstring'''
    return True




 def     lowerCamelCase (  self		,			__UpperCAmelCase		,			__UpperCAmelCase = None			):



    '''simple docstring'''
    __lowerCamelCase  							=      self._tokenizer.model.save(__UpperCAmelCase		,			name=__UpperCAmelCase			)
    return tuple(__UpperCAmelCase			)






