code: def testLogLogisticMode(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
      )
  
      mode = (
          log_logistic_scale * ((1.0 - scale) / (1.0 + scale)) ** scale
      )
      mode[2] = 0.0
      self.assertAllClose(self.evaluate(dist.mode()), mode)
  
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 5 for calling the LogLogisticTest obj's underlying member method code with example usage: obj.testLogLogisticMode() without return types