






'''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__)












'''simple docstring'''
UpperCamelCase__	=     (1, 153, 370, 371, 1634, 24678051, 115132219018763992565095597973971522401)
UpperCamelCase__	=     (-153, -1, 0, 1.2, 200, "A", [], {}, None)




def 						__SCREAMING_SNAKE_CASE   (					_UpperCamelCase							):


   """simple docstring"""




   if not isinstance(_UpperCamelCase  ,						_UpperCamelCase							) or n < 1:
      return False

   # Initialization of sum and number of digits.
   lowercase_		:      Optional[int]          =       0
   lowercase_		:      Any          =       0
   lowercase_		:      Optional[Any]          =       n
   # Calculation of digits of the number
   while temp > 0:
      number_of_digits += 1
      temp //= 10
   # Dividing number into separate digits and find Armstrong number
   lowercase_		:      int          =       n
   while temp > 0:
      lowercase_		:      Any          =       temp % 10
      total += rem**number_of_digits
      temp //= 10
   return n == total




def 						__SCREAMING_SNAKE_CASE   (					_UpperCamelCase							):


   """simple docstring"""




   if not isinstance(_UpperCamelCase  ,						_UpperCamelCase							) or n < 1:
      return False

   # Init a "histogram" of the digits
   lowercase_		:      Optional[Any]          =       [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
   lowercase_		:      Tuple          =       0
   lowercase_		:      Any          =       0
   lowercase_		:      Tuple          =       n
   while temp > 0:
      lowercase_      ,						lowercase_		:      Optional[Any]          =       divmod(_UpperCamelCase  ,						10							)
      digit_histogram[rem] += 1
      digit_total += 1

   for cnt, i in zip(_UpperCamelCase  ,						range(len(_UpperCamelCase							)							)							):
      total += cnt * i**digit_total

   return n == total




def 						__SCREAMING_SNAKE_CASE   (					_UpperCamelCase							):


   """simple docstring"""




   if not isinstance(_UpperCamelCase  ,						_UpperCamelCase							) or n < 1:
      return False
   lowercase_		:      List[str]          =       len(str(_UpperCamelCase							)							)  # the power that all digits will be raised to
   # check if sum of each digit multiplied expo times is equal to number
   return n == sum(int(_UpperCamelCase							) ** expo for i in str(_UpperCamelCase							)							)




def 						__SCREAMING_SNAKE_CASE   (					):


   """simple docstring"""




   lowercase_		:      Dict          =       int(input("Enter an integer to see if it is an Armstrong number: "							).strip()							)
   print(F"""{num} is {"" if armstrong_number(_UpperCamelCase							) else "not "}an Armstrong number."""							)
   print(F"""{num} is {"" if narcissistic_number(_UpperCamelCase							) else "not "}an Armstrong number."""							)
   print(F"""{num} is {"" if pluperfect_number(_UpperCamelCase							) else "not "}an Armstrong number."""							)


if __name__ == "__main__":
 import doctest

 doctest.testmod()
 main()




