code: def testNormConst2D(self, dtype):
      expected = 2.0
      # 2x2 correlation matrices are determined by one number between -1
      # and 1, so the volume of density 1 over all of them is 2.
      answer = self.evaluate(
          lkj.LKJ(
              2, dtype([1.0]), validate_args=True
          )._log_normalization()
      )
      self.assertAllClose(answer, np.log([expected]))
  
imports: from absl.testing import parameterized
  import numpy
  import tensorflow.compat.v1
  import tensorflow.compat.v2
  from tensorflow_probability.python.distributions import lkj
  from tensorflow_probability.python.distributions.internal import statistical_testing
  from tensorflow_probability.python.internal import assert_util
  from tensorflow_probability.python.internal import dtype_util
  from tensorflow_probability.python.internal import test_util
label_desc: Use image node_id 1 for calling the LKJTest obj's underlying member method code with example usage: obj.testNormConst2D(dtype) without return types