"""simple docstring"""







class      _SCREAMING_SNAKE_CASE							:



   '''simple docstring'''



   def __init__(	self	):


      '''simple docstring'''

      __lowerCamelCase    		=					[0, 1]







   def    _A				(	self ,				_SCREAMING_SNAKE_CASE	):


      '''simple docstring'''

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



def       A__    (	)  ->							None:
   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(lowercase_						)
      except ValueError:
         print('Enter a number or \'exit\''						)
         continue

      print(fibonacci.get(lowercase_						)						)


if __name__ == "__main__":
     main()










'''simple docstring'''

from typing import TYPE_CHECKING

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


lowercase__					  =		{
    "configuration_swin2sr": ["SWIN2SR_PRETRAINED_CONFIG_ARCHIVE_MAP", "Swin2SRConfig"],
}


try:
   if not is_torch_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   lowercase__					  =		[
       "SWIN2SR_PRETRAINED_MODEL_ARCHIVE_LIST",
       "Swin2SRForImageSuperResolution",
       "Swin2SRModel",
       "Swin2SRPreTrainedModel",
   ]


try:
   if not is_vision_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   lowercase__					  =		["Swin2SRImageProcessor"]


if TYPE_CHECKING:
   from .configuration_swinasr import SWIN2SR_PRETRAINED_CONFIG_ARCHIVE_MAP, SwinaSRConfig

   try:
      if not is_torch_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .modeling_swinasr import (
          SWIN2SR_PRETRAINED_MODEL_ARCHIVE_LIST,
          SwinaSRForImageSuperResolution,
          SwinaSRModel,
          SwinaSRPreTrainedModel,
      )

   try:
      if not is_vision_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .image_processing_swinasr import SwinaSRImageProcessor


else:
   import sys

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

