code: def testCauchyNanMean(self):
      loc = [1.0, 2.0, 3.0]
      scale = [7.0]
      dist = cauchy.Cauchy(
          loc=loc,
          scale=scale,
          allow_nan_stats=False,
          validate_args=True,
      )
  
      with self.assertRaises(ValueError):
          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 17 for calling the CauchyTest obj's underlying member method code with example usage: obj.testCauchyNanMean() without return types