code: def testZipfMean(self):
      power_v = [2.0, 3.0, 2.5]
      dist = zipf.Zipf(power=power_v, validate_args=True)
      self.assertEqual((3,), dist.mean().shape)
      self.assertAllClose(
          self.evaluate(dist.mean()), stats.zipf.mean(power_v)
      )
  
imports: import numpy
  from scipy import stats
  import tensorflow.compat.v2
  from tensorflow_probability.python.distributions import zipf
  from tensorflow_probability.python.internal import test_util
label_desc: Use image node_id 21 for calling the ZipfTest obj's underlying member method code with example usage: obj.testZipfMean() without return types