code: def _make_images(self):
      sc = np.float32(self.maxval - self.minval) * 0.999
      sh = np.float32(self.minval) + 0.0005
      these_images = (
          np.random.random([self.batch_shape] + self.output_shape) * sc
          + sh
      )
      return np.float32(these_images)
  
imports: import functools
  import numpy
  import tensorflow.compat.v2
  from tensorflow_probability.python.bijectors import bijector_test_util
  from tensorflow_probability.python.bijectors import blockwise
  from tensorflow_probability.python.bijectors import chain
  from tensorflow_probability.python.bijectors import composition
  from tensorflow_probability.python.bijectors import glow
  from tensorflow_probability.python.bijectors import identity
  from tensorflow_probability.python.bijectors import pad
  from tensorflow_probability.python.bijectors import sigmoid
  from tensorflow_probability.python.distributions import independent
  from tensorflow_probability.python.distributions import normal
  from tensorflow_probability.python.internal import test_util
  from tensorflow_probability.python.internal import tf_keras
  from tensorflow_probability.python.math.gradient import batch_jacobian
label_desc: Use image node_id 3 for calling the GlowTest obj's underlying member method code with example usage: obj._make_images() and returns: np