code: def testZipfShape(self):
      power = tf.constant([3.0] * 5)
      dist = zipf.Zipf(power=power, validate_args=True)
  
      self.assertEqual(self.evaluate(dist.batch_shape_tensor()), (5,))
      self.assertEqual(dist.batch_shape, tf.TensorShape([5]))
      self.assertAllEqual(self.evaluate(dist.event_shape_tensor()), [])
      self.assertEqual(dist.event_shape, tf.TensorShape([]))
  
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 3 for calling the ZipfTest obj's underlying member method code with example usage: obj.testZipfShape() without return types