code: def testLogLogisticVarianceNoNanAllowed(self):
      log_logistic_scale = np.float32([3.0, 1.5, 0.75])
      loc = np.log(log_logistic_scale)
      scale = np.float32([0.4, 0.6, 1.5])
      dist = loglogistic.LogLogistic(
          loc=loc,
          scale=scale,
          validate_args=True,
          allow_nan_stats=False,
      )
  
      with self.assertRaisesOpError("Condition x < y.*"):
          self.evaluate(dist.variance())
  
      with self.assertRaisesOpError("Condition x < y.*"):
          self.evaluate(dist.stddev())
  
imports: import numpy
  from scipy import stats
  from tensorflow_probability.python.distributions import loglogistic
  from tensorflow_probability.python.internal import test_util
label_desc: Use image node_id 4 for calling the LogLogisticTest obj's underlying member method code with example usage: obj.testLogLogisticVarianceNoNanAllowed() without return types