code: def testQuantile(self, loc, scale, low, high):
      tf_dist, sp_dist = self.constructDists(loc, scale, low, high)
      for q in [0.01, 0.1, 0.5, 0.9, 0.99]:
          self.assertAlmostEqual(
              self.evaluate(tf_dist.quantile(value=q)),
              sp_dist.ppf(q=q),
              places=3,
          )
  
imports: import itertools
  import unittest
  from absl.testing import parameterized
  import numpy
  from scipy import stats
  import tensorflow.compat.v1
  import tensorflow.compat.v2
  from tensorflow_probability.python.distributions import normal
  from tensorflow_probability.python.distributions import truncated_normal
  from tensorflow_probability.python.internal import test_util
  from tensorflow_probability.python.math import gradient
label_desc: Use image node_id 8 for calling the TruncatedNormalTestCompareWithScipy obj's underlying member method code with example usage: obj.testQuantile(loc, scale, low, high) without return types