code: def testLogisticMean(self):
      loc = [2.0, 1.5, 1.0]
      scale = 1.5
      expected_mean = stats.logistic.mean(loc, scale)
      dist = logistic.Logistic(loc, scale, validate_args=True)
      self.assertAllClose(self.evaluate(dist.mean()), expected_mean)
  
imports: import numpy
  from scipy import stats
  import tensorflow.compat.v2
  from tensorflow_probability.python.distributions import logistic
  from tensorflow_probability.python.internal import reparameterization
  from tensorflow_probability.python.internal import test_util
label_desc: Use image node_id 7 for calling the LogisticTest obj's underlying member method code with example usage: obj.testLogisticMean() without return types