code: def testCauchyMean(self):
      loc = [1.0, 2.0, 3.0]
      scale = [7.0]
      dist = cauchy.Cauchy(loc=loc, scale=scale, validate_args=True)
  
      self.assertAllEqual((3,), dist.mean().shape)
      self.assertAllEqual([np.nan] * 3, self.evaluate(dist.mean()))
  
imports: import numpy
  from scipy import stats
  import tensorflow.compat.v1
  import tensorflow.compat.v2
  from tensorflow_probability.python.distributions import cauchy
  from tensorflow_probability.python.distributions import kullback_leibler
  from tensorflow_probability.python.internal import test_util
  from tensorflow_probability.python.math import gradient
label_desc: Use image node_id 16 for calling the CauchyTest obj's underlying member method code with example usage: obj.testCauchyMean() without return types