code: def test_zero_mean_and_manual_dtype(self):
      running_mean = sample_stats.RunningMean.from_shape(
          shape=(), dtype=tf.float64
      )
      for _ in range(6):
          running_mean = running_mean.update(0)
      mean = running_mean.mean
      self.assertEqual(tf.float64, mean.dtype)
  
imports: from absl.testing import parameterized
  import numpy
  import scipy.stats
  import tensorflow.compat.v2
  from tensorflow_probability.python.experimental.stats import sample_stats
  from tensorflow_probability.python.internal import test_util
  from tensorflow_probability.python.mcmc import diagnostic
label_desc: Use image node_id 2 for calling the RunningMeanTest obj's underlying member method code with example usage: obj.test_zero_mean_and_manual_dtype() without return types