<SYSTEM_TASK:>
Solve the following problem using Python, implementing the functions described below, one line at a time
<END_TASK>
<USER_TASK:>
Description:
 def impulse_noise(x, severity=1):
 """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. """

  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)