code: def test_can_instantiate(self):
      noisy = uniform_noise.NoisyNormal(loc=0.0, scale=1.0)
      em = ContinuousBatchedEntropyModel(noisy, 1)
      self.assertIs(em.prior, noisy)
      self.assertEqual(em.coding_rank, 1)
      self.assertEqual(em.tail_mass, 2**-8)
      self.assertEqual(em.bottleneck_dtype, tf.float32)
      self.assertEqual(em.prior.dtype, tf.float32)
  
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 1 for calling the ContinuousBatchedEntropyModelTest obj's underlying member method code with example usage: obj.test_can_instantiate() without return types