code: def testLogLogisticMean(self):
      log_logistic_scale = np.float32([3.0, 1.5, 0.75])
      loc = np.log(log_logistic_scale)
      scale = np.float32([0.8, 0.9, 0.5])
      dist = loglogistic.LogLogistic(
          loc=loc, scale=scale, validate_args=True
      )
  
      self.assertAllClose(
          self.evaluate(dist.mean()),
          stats.fisk.mean(
              loc=0.0, scale=log_logistic_scale, c=1.0 / scale
          ),
      )
  
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 1 for calling the LogLogisticTest obj's underlying member method code with example usage: obj.testLogLogisticMean() without return types