code: def testBetaModeInvalid(self):
      a = np.array([1.0, 2, 3])
      b = np.array([2.0, 4, 1.2])
      dist = beta.Beta(a, b, allow_nan_stats=False, validate_args=True)
      with self.assertRaisesOpError("Condition x < y.*"):
          self.evaluate(dist.mode())
  
      a = np.array([2.0, 2, 3])
      b = np.array([1.0, 4, 1.2])
      dist = beta.Beta(a, b, allow_nan_stats=False, validate_args=True)
      with self.assertRaisesOpError("Condition x < y.*"):
          self.evaluate(dist.mode())
  
imports: from absl.testing import parameterized
  import numpy
  from scipy import special
  from scipy import stats
  import tensorflow.compat.v2
  from tensorflow_probability.python.distributions import beta
  from tensorflow_probability.python.distributions import kullback_leibler
  from tensorflow_probability.python.internal import test_util
  from tensorflow_probability.python.math import gradient
label_desc: Use image node_id 18 for calling the BetaTest obj's underlying member method code with example usage: obj.testBetaModeInvalid() without return types