code: def testLogisticSample(self):
      loc_ = [3.0, 4.0, 2.0]
      scale_ = 1.0
      dist = logistic.Logistic(loc_, scale_, validate_args=True)
      n = int(15e3)
      samples = dist.sample(n, seed=test_util.test_seed())
      self.assertEqual(samples.shape, (n, 3))
      samples_ = self.evaluate(samples)
      for i in range(3):
          self.assertLess(
              stats.kstest(
                  samples_[:, i],
                  stats.logistic(loc=loc_[i], scale=scale_).cdf,
              )[0],
              0.013,
          )
  
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 10 for calling the LogisticTest obj's underlying member method code with example usage: obj.testLogisticSample() without return types