code: def impulse_noise(x, severity=1):
    
    c = [.03, .06, .09, 0.17, 0.27][severity - 1]
    x = tfds.core.lazy_imports.skimage.util.random_noise(
        np.array(x) / 255., mode='s&p', amount=c)
    x_clip = np.clip(x, 0, 1) * 255
    return around_and_astype(x_clip)
docs: Impulse noise corruption to images.
  
    Args:
      x: numpy array, uncorrupted image, assumed to have uint8 pixel in [0,255].
      severity: integer, severity of corruption.
  
    Returns:
      numpy array, image with uint8 pixels in [0,255]. Added impulse noise.