
'''simple docstring'''





class  lowerCAmelCase__   :



  '''simple docstring'''






  def __init__(self  : Union[str, Any]    )   ->       None:
        snake_case_						       =							[0, 1]


  def 		_lowerCamelCase	(self  : str	, lowerCAmelCase_  : int    )   ->       list:
        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   snake_case_       (							):
      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="" ,					)
      snake_case_						       =							Fibonacci()

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

            try:
                  snake_case_						       =							int(_a			)
            except ValueError:
                  print("Enter a number or 'exit'"			)
                  continue

            print(fibonacci.get(_a			)			)


if __name__ == "__main__":
     main()



'''simple docstring'''





from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available


A           =   {
    "configuration_deta": ["DETA_PRETRAINED_CONFIG_ARCHIVE_MAP", "DetaConfig"],
}

try:
     if not is_vision_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     A           =   ["DetaImageProcessor"]

try:
     if not is_torch_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     A           =   [
         "DETA_PRETRAINED_MODEL_ARCHIVE_LIST",
         "DetaForObjectDetection",
         "DetaModel",
         "DetaPreTrainedModel",
     ]


if TYPE_CHECKING:
     from .configuration_deta import DETA_PRETRAINED_CONFIG_ARCHIVE_MAP, DetaConfig

     try:
          if not is_vision_available():
               raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
          pass
     else:
          from .image_processing_deta import DetaImageProcessor

     try:
          if not is_torch_available():
               raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
          pass
     else:
          from .modeling_deta import (
              DETA_PRETRAINED_MODEL_ARCHIVE_LIST,
              DetaForObjectDetection,
              DetaModel,
              DetaPreTrainedModel,
          )

else:
     import sys

     A           =   _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)

