code: def test_small_cdfs_for_dirac_prior_without_quantization_offset(self):
      prior = uniform_noise.NoisyNormal(
          loc=100.0 * tf.range(16.0), scale=1e-10
      )
      em = ContinuousBatchedEntropyModel(
          prior, coding_rank=2, offset_heuristic=False, compression=True
      )
      self.assertEqual(em.cdf_offset.shape[0], 16)
      self.assertLessEqual(em.cdf.shape[0], 16 * 6)
  
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 14 for calling the ContinuousBatchedEntropyModelTest obj's underlying member method code with example usage: obj.test_small_cdfs_for_dirac_prior_without_quantization_offset() without return types