code: def testZipfMode(self):
      power_v = [10.0, 3.0, 2.5, 3.2, 1.1, 0.05]
      dist = zipf.Zipf(power=power_v, validate_args=False)
      self.assertEqual((6,), dist.mode().shape)
      self.assertAllClose(
          self.evaluate(dist.mode()), np.ones_like(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 24 for calling the ZipfTest obj's underlying member method code with example usage: obj.testZipfMode() without return types