
'''simple docstring'''



import math





def  _A		(							lowercase__	):
						if not isinstance(lowercase__		,		lowercase__	):
												lowercase__							 =       f'''Input value of [number={number}] must be an integer'''
												raise TypeError(lowercase__	)
						if number < 1:
												lowercase__							 =       f'''Input value of [number={number}] must be a positive integer'''
												raise ValueError(lowercase__	)
						lowercase__							 =       [number]
						while number != 1:
												if number % 2 == 0:
																		lowercase__							 =       math.floor(math.sqrt(lowercase__	)	)
												else:
																		lowercase__							 =       math.floor(
																		    math.sqrt(lowercase__	) * math.sqrt(lowercase__	) * math.sqrt(lowercase__	)	)
												sequence.append(lowercase__	)
						return sequence


if __name__ == "__main__":
				import doctest

				doctest.testmod()








'''simple docstring'''



from typing import TYPE_CHECKING

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


__A          =    {"configuration_detr": ["DETR_PRETRAINED_CONFIG_ARCHIVE_MAP", "DetrConfig", "DetrOnnxConfig"]}

try:
				if not is_vision_available():
								raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
				pass
else:
				__A          =    ["DetrFeatureExtractor"]
				__A          =    ["DetrImageProcessor"]

try:
				if not is_torch_available():
								raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
				pass
else:
				__A          =    [
				    "DETR_PRETRAINED_MODEL_ARCHIVE_LIST",
				    "DetrForObjectDetection",
				    "DetrForSegmentation",
				    "DetrModel",
				    "DetrPreTrainedModel",
				]


if TYPE_CHECKING:
				from .configuration_detr import DETR_PRETRAINED_CONFIG_ARCHIVE_MAP, DetrConfig, DetrOnnxConfig

				try:
								if not is_vision_available():
												raise OptionalDependencyNotAvailable()
				except OptionalDependencyNotAvailable:
								pass
				else:
								from .feature_extraction_detr import DetrFeatureExtractor
								from .image_processing_detr import DetrImageProcessor

				try:
								if not is_torch_available():
												raise OptionalDependencyNotAvailable()
				except OptionalDependencyNotAvailable:
								pass
				else:
								from .modeling_detr import (
								    DETR_PRETRAINED_MODEL_ARCHIVE_LIST,
								    DetrForObjectDetection,
								    DetrForSegmentation,
								    DetrModel,
								    DetrPreTrainedModel,
								)

else:
				import sys

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






