code: def testSampleConsistentLogProb2(self, dtype):
      concentrations = np.array(
          [1.00, 1.30, 1.50, 1.70, 1.90, 2.00, 2.10, 2.50, 3.00]
      )
      det_bounds = np.array(
          [0.01, 0.25, 0.30, 0.40, 0.50, 0.50, 0.50, 0.70, 0.70]
      )
      exact_volumes = 2 * np.sqrt(1.0 - det_bounds)
  
      for input_output_cholesky in [True, False]:
          self._testSampleLogProbExact(
              concentrations,
              det_bounds,
              2,
              exact_volumes,
              num_samples=int(1.1e5),
              dtype=dtype,
              input_output_cholesky=input_output_cholesky,
              target_discrepancy=0.05,
              seed=test_util.test_seed(),
          )
  
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 4 for calling the LKJTest obj's underlying member method code with example usage: obj.testSampleConsistentLogProb2(dtype) without return types