code: def testDimensionGuard(self, dtype):
      testee_dist = lkj.LKJ(
          dimension=3,
          concentration=dtype([1.0, 4.0]),
          validate_args=True,
      )
      with self.assertRaisesRegexp(ValueError, "dimension mismatch"):
          testee_dist.log_prob(dtype(np.eye(4)))
  
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 9 for calling the LKJTest obj's underlying member method code with example usage: obj.testDimensionGuard(dtype) without return types