code: def testLogLogisticSample(self):
      log_logistic_scale = 1.5
      loc = np.log(log_logistic_scale).astype(np.float32)
      scale = 0.33
      dist = loglogistic.LogLogistic(
          loc=loc, scale=scale, validate_args=True
      )
      samples = self.evaluate(
          dist.sample(6000, seed=test_util.test_seed())
      )
      self.assertAllClose(
          np.mean(samples), self.evaluate(dist.mean()), atol=0.1
      )
      self.assertAllClose(
          np.std(samples), self.evaluate(dist.stddev()), atol=0.5
      )
  
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 7 for calling the LogLogisticTest obj's underlying member method code with example usage: obj.testLogLogisticSample() without return types