
'''simple docstring'''





def   snake_case_       (							_a     :							Tuple ,					_a     :							Tuple			):
      if n == 0:
            return 1

      elif n % 2 == 1:
            return binary_exponentiation(_a ,					n - 1			) * a

      else:
            snake_case_						       =							binary_exponentiation(_a ,					n / 2			)
            return b * b


if __name__ == "__main__":
     try:
          A           =   int(input("Enter Base : ").strip())
          A           =   int(input("Enter Power : ").strip())
     except ValueError:
          print("Invalid literal for integer")

     A           =   binary_exponentiation(BASE, POWER)
     print(F"""{BASE}^({POWER}) : {RESULT}""")



'''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__)

