code: def test_can_instantiate_and_compress(self):
      em = self.get_model(compression=True)
      self.assertIsInstance(em.prior, uniform_noise.NoisyNormal)
      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.float32)
      self.assertEqual(em.prior_dtype, tf.float32)
      x, indexes, loc = self.get_samples((7, 4))
      x_tilde, bits = em(x, indexes, loc=loc)
      bitstring = em.compress(x, indexes, loc=loc)
      x_hat = em.decompress(bitstring, indexes, loc=loc)
      self.assertAllClose(x, x_hat, rtol=0, atol=0.5)
      self.assertAllClose(x, x_tilde, rtol=0, atol=0.5)
      self.assertEqual(bits.shape, (7,))
      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 3 for calling the LocationScaleIndexedEntropyModelTest obj's underlying member method code with example usage: obj.test_can_instantiate_and_compress() without return types