






def        lowerCamelCase__   (					__lowerCamelCase    :  int	):
  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        lowerCamelCase__   (					__lowerCamelCase    :  int	):
  if not isinstance(__lowerCamelCase						,	__lowerCamelCase	):
    raise TypeError("""dynamic_lucas_number accepts only integer arguments."""	)
  __UpperCAmelCase   ,				__UpperCAmelCase							:			List[Any]     =						2, 1
  for _ in range(__lowerCamelCase	):
    __UpperCAmelCase   ,				__UpperCAmelCase							:			List[str]     =						b, a + b
  return a


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

       testmod()
       a	: Dict      =				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, is_vision_available


a	: Optional[int]      =				{
    "configuration_deformable_detr": ["DEFORMABLE_DETR_PRETRAINED_CONFIG_ARCHIVE_MAP", "DeformableDetrConfig"],
}

try:
       if not is_vision_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       a	: Optional[int]      =				["DeformableDetrFeatureExtractor"]
       a	: List[str]      =				["DeformableDetrImageProcessor"]

try:
       if not is_torch_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       a	: List[Any]      =				[
           "DEFORMABLE_DETR_PRETRAINED_MODEL_ARCHIVE_LIST",
           "DeformableDetrForObjectDetection",
           "DeformableDetrModel",
           "DeformableDetrPreTrainedModel",
       ]


if TYPE_CHECKING:
       from .configuration_deformable_detr import DEFORMABLE_DETR_PRETRAINED_CONFIG_ARCHIVE_MAP, DeformableDetrConfig

       try:
              if not is_vision_available():
                     raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
              pass
       else:
              from .feature_extraction_deformable_detr import DeformableDetrFeatureExtractor
              from .image_processing_deformable_detr import DeformableDetrImageProcessor

       try:
              if not is_torch_available():
                     raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
              pass
       else:
              from .modeling_deformable_detr import (
                  DEFORMABLE_DETR_PRETRAINED_MODEL_ARCHIVE_LIST,
                  DeformableDetrForObjectDetection,
                  DeformableDetrModel,
                  DeformableDetrPreTrainedModel,
              )

else:
       import sys

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


