


def    _UpperCAmelCase	(   __lowerCamelCase       )		->int:


 '''simple docstring'''
 if not isinstance(__lowerCamelCase ,     __lowerCamelCase       ):
  raise TypeError('''recursive_lucas_number accepts only integer arguments.'''       )
 if n_th_number == 0:
  return 2
 if n_th_number == 1:
  return 1

 return recursive_lucas_number(n_th_number - 1       ) + recursive_lucas_number(
     n_th_number - 2       )






def    _UpperCAmelCase	(   __lowerCamelCase       )		->int:


 '''simple docstring'''
 if not isinstance(__lowerCamelCase ,     __lowerCamelCase       ):
  raise TypeError('''dynamic_lucas_number accepts only integer arguments.'''       )
 snake_case  ,					snake_case   : List[Any]	  =      2, 1
 for _ in range(__lowerCamelCase       ):
  snake_case  ,					snake_case   : int	  =      b, a + b
 return a


if __name__ == "__main__":
  from doctest import testmod

  testmod()
  a				:							str					=			int(input('Enter the number of terms in lucas series:\n').strip())
  print('Using recursive function to calculate lucas series:')
  print(' '.join(str(recursive_lucas_number(i)) for i in range(n)))
  print('\nUsing dynamic function to calculate lucas series:')
  print(' '.join(str(dynamic_lucas_number(i)) for i in range(n)))










from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


a				:							str					=			{'configuration_dinat': ['DINAT_PRETRAINED_CONFIG_ARCHIVE_MAP', 'DinatConfig']}


try:
  if not is_torch_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  a				:							Union[str, Any]					=			[
      'DINAT_PRETRAINED_MODEL_ARCHIVE_LIST',
      'DinatForImageClassification',
      'DinatModel',
      'DinatPreTrainedModel',
      'DinatBackbone',
  ]

if TYPE_CHECKING:
  from .configuration_dinat import DINAT_PRETRAINED_CONFIG_ARCHIVE_MAP, DinatConfig

  try:
    if not is_torch_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .modeling_dinat import (
        DINAT_PRETRAINED_MODEL_ARCHIVE_LIST,
        DinatBackbone,
        DinatForImageClassification,
        DinatModel,
        DinatPreTrainedModel,
    )

else:
  import sys

  a				:							List[Any]					=			_LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)






