code: 
  
  
  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 						snake_case			(       lowerCAmelCase__	):
  			'''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
  
  
  
style_context: 
  
  
  def 							UpperCAmelCase				(     UpperCAmelCase				,UpperCAmelCase      )->		int:
  
  
  
  
  
  
  
  					'''simple docstring'''
  
  
  
  					return (input_a, input_a).count(0      ) % 2
  
  
  
  
  
  
  
  def 							UpperCAmelCase				(     )->		None:
  
  
  
  
  
  
  
  					'''simple docstring'''
  
  
  
  					assert xor_gate(0				,0      ) == 0
  					assert xor_gate(0				,1      ) == 1
  					assert xor_gate(1				,0      ) == 1
  					assert xor_gate(1				,1      ) == 0
  
  
  if __name__ == "__main__":
  		print(xor_gate(0, 0))
  		print(xor_gate(0, 1))
  
  
  