





"""simple docstring"""




from typing import TYPE_CHECKING

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


UpperCamelCase_           ={
    """configuration_imagegpt""": ["""IMAGEGPT_PRETRAINED_CONFIG_ARCHIVE_MAP""", """ImageGPTConfig""", """ImageGPTOnnxConfig"""]
}

try:
						if not is_vision_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						UpperCamelCase_           =["""ImageGPTFeatureExtractor"""]
						UpperCamelCase_           =["""ImageGPTImageProcessor"""]

try:
						if not is_torch_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						UpperCamelCase_           =[
						    """IMAGEGPT_PRETRAINED_MODEL_ARCHIVE_LIST""",
						    """ImageGPTForCausalImageModeling""",
						    """ImageGPTForImageClassification""",
						    """ImageGPTModel""",
						    """ImageGPTPreTrainedModel""",
						    """load_tf_weights_in_imagegpt""",
						]


if TYPE_CHECKING:
						from .configuration_imagegpt import IMAGEGPT_PRETRAINED_CONFIG_ARCHIVE_MAP, ImageGPTConfig, ImageGPTOnnxConfig

						try:
												if not is_vision_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .feature_extraction_imagegpt import ImageGPTFeatureExtractor
												from .image_processing_imagegpt import ImageGPTImageProcessor

						try:
												if not is_torch_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .modeling_imagegpt import (
												    IMAGEGPT_PRETRAINED_MODEL_ARCHIVE_LIST,
												    ImageGPTForCausalImageModeling,
												    ImageGPTForImageClassification,
												    ImageGPTModel,
												    ImageGPTPreTrainedModel,
												    load_tf_weights_in_imagegpt,
												)

else:
						import sys

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











from doctest import testmod
from math import sqrt
def      lowerCamelCase					(						a_	)	->			list:
							lowerCAmelCase_										=     []
							if num < 1:
														return facs
							facs.append(1	)
							if num == 1:
														return facs
							facs.append(a_	)
							for i in range(2 ,						int(sqrt(a_	)	) + 1	):
														if num % i == 0:  # If i is a factor of num
																					facs.append(a_	)
																					lowerCAmelCase_										=     num // i  # num//i is the other factor of num
																					if d != i:  # If d and i are distinct
																												facs.append(a_	)  # we have found another factor
							facs.sort()
							return facs


if __name__ == "__main__":
		testmod(name="""factors_of_a_number""", verbose=True)



