code: 
  
  
  
  
  
  
  """simple docstring"""
  
  class 	__lowerCamelCase       :
  
  
  
  
  
    '''simple docstring'''
  
  
  
  
  
  
    def __init__(     self							:			Optional[Any]			):
      lowerCAmelCase_     :							Dict             =    [0, 1]
  
  
  
  
  
    def      lowerCamelCase (     self							:			Any		,    a_							:			int			):
  
  
  
  
  
  
      if (difference := index - (len(self.sequence			) - 2)) >= 1:
        for _ in range(lowercase_			):
          self.sequence.append(self.sequence[-1] + self.sequence[-2]			)
      return self.sequence[:index]
  
  
  
  
  
  
  
  def 	__lowerCamelCase			(						)		->					Optional[Any]:
  
    """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=""   , )
    lowerCAmelCase_     :							str             =    Fibonacci()
  
    while True:
      lowerCAmelCase_     :							Dict             =    input(">> " )
      if prompt in {"exit", "quit"}:
        break
  
      try:
        lowerCAmelCase_     :							Optional[Any]             =    int(_A )
      except ValueError:
        print("Enter a number or \'exit\'" )
        continue
  
      print(fibonacci.get(_A ) )
  
  
  if __name__ == "__main__":
       main()
  
style_context: 
  
  
  
  
  
  
  """simple docstring"""
  
  from typing import TYPE_CHECKING
  
  from ...utils import (
      OptionalDependencyNotAvailable,
      _LazyModule,
      is_torch_available,
      is_vision_available,
  )
  
  
  lowercase__      =				{
      """configuration_mobilevitv2""": [
          """MOBILEVITV2_PRETRAINED_CONFIG_ARCHIVE_MAP""",
          """MobileViTV2Config""",
          """MobileViTV2OnnxConfig""",
      ],
  }
  
  
  try:
  					if not is_torch_available():
  										raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
  					pass
  else:
  					lowercase__      =				[
  					    """MOBILEVITV2_PRETRAINED_MODEL_ARCHIVE_LIST""",
  					    """MobileViTV2ForImageClassification""",
  					    """MobileViTV2ForSemanticSegmentation""",
  					    """MobileViTV2Model""",
  					    """MobileViTV2PreTrainedModel""",
  					]
  
  if TYPE_CHECKING:
  					from .configuration_mobilevitva import (
  					    MOBILEVITV2_PRETRAINED_CONFIG_ARCHIVE_MAP,
  					    MobileViTVaConfig,
  					    MobileViTVaOnnxConfig,
  					)
  
  					try:
  										if not is_torch_available():
  															raise OptionalDependencyNotAvailable()
  					except OptionalDependencyNotAvailable:
  										pass
  					else:
  										from .modeling_mobilevitva import (
  										    MOBILEVITV2_PRETRAINED_MODEL_ARCHIVE_LIST,
  										    MobileViTVaForImageClassification,
  										    MobileViTVaForSemanticSegmentation,
  										    MobileViTVaModel,
  										    MobileViTVaPreTrainedModel,
  										)
  
  else:
  					import sys
  
  					lowercase__      =				_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)
  