code: def test_mode_and_quantile(self, adapter, distribution):
      dist = adapter(distribution())
      mode = dist.mode()
      left_mass = dist.cdf(mode)
      self.assertAllClose(left_mass, 0.5)
      quantile_75p = dist.quantile(0.75)
      left_mass = dist.cdf(quantile_75p)
      self.assertAllClose(left_mass, 0.75)
  
imports: from absl.testing import parameterized
  import numpy
  import tensorflow
  import tensorflow_probability
  from tensorflow_compression.python.distributions import deep_factorized
  from tensorflow_compression.python.distributions import round_adapters
label_desc: Use image node_id 2 for calling the AdaptersTest obj's underlying member method code with example usage: obj.test_mode_and_quantile(adapter, distribution) without return types