code: def test_manual_dtype(self):
      rng = test_util.test_np_rng()
      x = rng.rand(3, 10)
      cov = sample_stats.RunningCovariance.from_shape(
          (10,), dtype=tf.float64
      )
      cov = consume(cov, x)
      final_cov = cov.covariance()
      self.assertEqual(final_cov.dtype, tf.float64)
  
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 9 for calling the RunningCovarianceTest obj's underlying member method code with example usage: obj.test_manual_dtype() without return types