code: def test_quantizes_to_integers_modulo_offset(self):
      noisy = uniform_noise.NoisyNormal(loc=0.25, scale=10.0)
      em = ContinuousBatchedEntropyModel(noisy, 1)
      x = tf.range(-20.0, 20.0) + 0.25
      x_perturbed = x + tf.random.uniform(x.shape, -0.49, 0.49)
      x_quantized = em.quantize(x_perturbed)
      self.assertAllEqual(x, x_quantized)
  
imports: from absl.testing import parameterized
  import tensorflow
  import tensorflow_probability
  from tensorflow_compression.python.distributions import uniform_noise
  from tensorflow_compression.python.entropy_models.continuous_batched import ContinuousBatchedEntropyModel
label_desc: Use image node_id 5 for calling the ContinuousBatchedEntropyModelTest obj's underlying member method code with example usage: obj.test_quantizes_to_integers_modulo_offset() without return types