






import math

def    UpperCamelCase						(	_A			):






      """simple docstring"""







      if not isinstance(_A,   _A			):
            __magic_name__      :       str       						= f'Input value of [number={number}] must be an integer'
            raise TypeError(_A			)

      if number < 1:
            __magic_name__      :       str       						= f'Input value of [number={number}] must be > 0'
            raise ValueError(_A			)
      elif number == 1:
            return 3
      elif number == 2:
            return 5
      else:
            __magic_name__      :       List[str]       						= int(math.log(number // 3,   2			)			) + 2

            __magic_name__      :       str       						= [3, 5]
            __magic_name__      :       Optional[int]       						= 2
            __magic_name__      :       Dict       						= 3
            for block in range(1,   _A			):
                  for _ in range(_A			):
                        proth_list.append(2 ** (block + 1) + proth_list[proth_index - 1]			)
                        proth_index += 1
                  increment *= 2

      return proth_list[number - 1]


if __name__ == "__main__":
  import doctest

  doctest.testmod()

  for number in range(11):
    __magic_name__:					Dict							=     0
    try:
      __magic_name__:					Tuple							=     proth(number)
    except ValueError:
      print(F"""ValueError: there is no {number}th Proth number""")
      continue

    print(F"""The {number}th Proth number: {value}""")








from typing import TYPE_CHECKING

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


__magic_name__:					List[Any]							=     {
    "configuration_conditional_detr": [
        "CONDITIONAL_DETR_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "ConditionalDetrConfig",
        "ConditionalDetrOnnxConfig",
    ]
}

try:
		if not is_vision_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		__magic_name__:					List[str]							=     ["ConditionalDetrFeatureExtractor"]
		__magic_name__:					int							=     ["ConditionalDetrImageProcessor"]

try:
		if not is_torch_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		__magic_name__:					List[Any]							=     [
		    "CONDITIONAL_DETR_PRETRAINED_MODEL_ARCHIVE_LIST",
		    "ConditionalDetrForObjectDetection",
		    "ConditionalDetrForSegmentation",
		    "ConditionalDetrModel",
		    "ConditionalDetrPreTrainedModel",
		]


if TYPE_CHECKING:
		from .configuration_conditional_detr import (
		    CONDITIONAL_DETR_PRETRAINED_CONFIG_ARCHIVE_MAP,
		    ConditionalDetrConfig,
		    ConditionalDetrOnnxConfig,
		)

		try:
				if not is_vision_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .feature_extraction_conditional_detr import ConditionalDetrFeatureExtractor
				from .image_processing_conditional_detr import ConditionalDetrImageProcessor

		try:
				if not is_torch_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_conditional_detr import (
				    CONDITIONAL_DETR_PRETRAINED_MODEL_ARCHIVE_LIST,
				    ConditionalDetrForObjectDetection,
				    ConditionalDetrForSegmentation,
				    ConditionalDetrModel,
				    ConditionalDetrPreTrainedModel,
				)

else:
		import sys

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