code: def      SCREAMING_SNAKE_CASE_  (		snake_case__							)  ->			str:
  							if not isinstance(snake_case__     ,						snake_case__							):
  														lowerCAmelCase				=	(
  														    '''operation can not be conducted on a object of type '''
  														    f"{type(snake_case__							).__name__}"
  														)
  														raise TypeError(snake_case__							)
  							lowerCAmelCase				=	''''''
  							for _ in range(0     ,						3_2							):
  														bit_string += str(number % 2							)
  														lowerCAmelCase				=	number >> 1
  							return bit_string
  
  def      SCREAMING_SNAKE_CASE_  (		snake_case__							)  ->			str:
  							if number < 0:
  														raise ValueError('''the value of input must be positive'''							)
  							elif isinstance(snake_case__     ,						snake_case__							):
  														raise TypeError('''Input value must be a \'int\' type'''							)
  							elif isinstance(snake_case__     ,						snake_case__							):
  														raise TypeError('''\'<\' not supported between instances of \'str\' and \'int\''''							)
  							lowerCAmelCase				=	0
  							# iterator over [1 to 32],since we are dealing with 32 bit integer
  							for _ in range(1     ,						3_3							):
  														# left shift the bits by unity
  														lowerCAmelCase				=	result << 1
  														# get the end bit
  														lowerCAmelCase				=	number % 2
  														# right shift the bits by unity
  														lowerCAmelCase				=	number >> 1
  														# add that bit to our ans
  														lowerCAmelCase				=	result | end_bit
  							return get_reverse_bit_string(snake_case__							)
  
  
  if __name__ == "__main__":
  	import doctest
  
  	doctest.testmod()
  
  
  
  
style_context: from dataclasses import dataclass
  from typing import List, Optional, Union
  
  import numpy as np
  import PIL
  
  from ...utils import BaseOutput, is_invisible_watermark_available, is_torch_available, is_transformers_available
  
  
  
  
  @dataclass
  class      lowercase_						(						UpperCamelCase_		):
  
  
  
  	"""simple docstring"""
  
  
  
  
  
  	UpperCAmelCase_						:      Union[List[PIL.Image.Image], np.ndarray]
  
  
  if is_transformers_available() and is_torch_available() and is_invisible_watermark_available():
  	from .pipeline_stable_diffusion_xl import StableDiffusionXLPipeline
  	from .pipeline_stable_diffusion_xl_imgaimg import StableDiffusionXLImgaImgPipeline
  
  
  
  