code: def test_kendall_tau_float(self):
      x1 = [0.12, 0.02, 0.01, 0.12, 0.02]
      x2 = [0.1, 0.4, 0.7, 0.1, 0.0]
      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 2 for calling the KendallsTauTest obj's underlying member method code with example usage: obj.test_kendall_tau_float() without return types