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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def pixelate(x, severity=1):
 """Pixelate images. Conduct pixelating corruptions to images by first shrinking the images and then resizing to original size. 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]. Applied pixelating corruption. """

  c = [0.6, 0.5, 0.4, 0.3, 0.25][severity - 1]
  shape = x.shape
  x = tfds.core.lazy_imports.PIL_Image.fromarray(x.astype(np.uint8))
  x = x.resize((int(shape[1] * c), int(shape[0] * c)))
  x = x.resize((shape[1], shape[0]))
  return np.asarray(x)