code: def test_kendall_tau(self):
      x1 = [12, 2, 1, 12, 2]
      x2 = [1, 4, 7, 1, 0]
      expected = stats.kendalltau(x1, x2)[0]
      res = self.evaluate(
          kendalls_tau.kendalls_tau(
              tf.constant(x1, tf.float32), tf.constant(x2, tf.float32)
          )
      )
      self.assertAllClose(expected, res, atol=1e-5)
  
file_path: probability/tensorflow_probability/python/stats/kendalls_tau_test.py
imports: import random
  from scipy import stats
  import tensorflow.compat.v2
  from tensorflow_probability.python.internal import test_util
  from tensorflow_probability.python.stats import kendalls_tau
label_desc: Use image node_id 1 for calling the KendallsTauTest obj's underlying member method code with example usage: obj.test_kendall_tau() without return types