code: def test_can_instantiate_and_compress_statelessly(self):
      em = self.get_model(
          compression=True, stateless=True, prior_dtype=tf.float64
      )
      self.assertEqual(em.compression, True)
      self.assertEqual(em.stateless, True)
      self.assertIsInstance(
          em.prior, uniform_noise.NoisyLogisticMixture
      )
      self.assertEqual(em.coding_rank, 1)
      self.assertEqual(em.tail_mass, 2**-8)
      self.assertEqual(em.range_coder_precision, 12)
      self.assertEqual(em.bottleneck_dtype, tf.float32)
      self.assertEqual(em.prior.dtype, tf.float64)
      self.assertEqual(em.prior_dtype, tf.float64)
      x, indexes = self.get_samples((7,), dtype=tf.float32)
      x_tilde, bits = em(x, indexes)
      bitstring = em.compress(x, indexes)
      x_hat = em.decompress(bitstring, indexes)
      self.assertAllClose(x, x_hat, rtol=0, atol=0.5)
      self.assertAllClose(x, x_tilde, rtol=0, atol=0.5)
      self.assertEqual(bits.shape, ())
      self.assertAllGreaterEqual(bits, 0.0)
  
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 import continuous_indexed
label_desc: Use image node_id 4 for calling the ContinuousIndexedEntropyModelTest obj's underlying member method code with example usage: obj.test_can_instantiate_and_compress_statelessly() without return types