code: 
  
  def     UpperCAmelCase__       (    _A   :				set			,   _A   :				set							):
  
  
  
  
  
    '''simple docstring'''
  
  
  
  
  
  
  
    assert isinstance(_A			,   _A							), F"""The input value of [set_a={set_a}] is not a set"""
    assert isinstance(_A			,   _A							), F"""The input value of [set_b={set_b}] is not a set"""
  
    return {a + b for a in set_a for b in set_b}
  
  
  if __name__ == "__main__":
         from doctest import testmod
  
         testmod()
  
style_context: 
  
  from dataclasses import dataclass
  from typing import List, Optional, Union
  
  import numpy as np
  import PIL
  from PIL import Image
  
  from ...utils import BaseOutput, is_torch_available, is_transformers_available
  
  
  
  
  
  
  
  @dataclass
  # Copied from diffusers.pipelines.stable_diffusion.__init__.StableDiffusionPipelineOutput with Stable->Alt
  class 		__magic_name__    (							lowerCamelCase__							):
  
     '''simple docstring'''
  
  
  
  
     lowerCamelCase__				:			Union[List[PIL.Image.Image], np.ndarray]
     lowerCamelCase__				:			Optional[List[bool]]
  
  
  if is_transformers_available() and is_torch_available():
         from .modeling_roberta_series import RobertaSeriesModelWithTransformation
         from .pipeline_alt_diffusion import AltDiffusionPipeline
         from .pipeline_alt_diffusion_imgaimg import AltDiffusionImgaImgPipeline
  