code: def testValidPower_ImplicitlyConvertsToFloat32(self):
      powers = [2, 10, 1.1]
      for power in powers:
          dist = zipf.Zipf(power=power, validate_args=True)
          self.assertEqual(dist.power.dtype, tf.float32)
  
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 6 for calling the ZipfTest obj's underlying member method code with example usage: obj.testValidPower_ImplicitlyConvertsToFloat32() without return types