code: def testLogisticQuantile(self):
      loc = [3.0, 4.0, 2.0]
      scale = np.random.randn(3) ** 2 + 1e-3
      x = [0.2, 0.5, 0.99]
      expected_quantile = stats.logistic.ppf(x, loc=loc, scale=scale)
      dist = logistic.Logistic(loc, scale, validate_args=True)
      self.assertAllClose(
          self.evaluate(dist.quantile(x)), expected_quantile
      )
  
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 11 for calling the LogisticTest obj's underlying member method code with example usage: obj.testLogisticQuantile() without return types