code: def testMean(self):
      p = np.array([[0.2, 0.7], [0.5, 0.4]], dtype=np.float32)
      dist = bernoulli.Bernoulli(probs=p)
      self.assertAllEqual(self.evaluate(dist.mean()), p)
  
imports: import importlib
  import numpy
  from tensorflow.python.eager import backprop
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops.distributions import bernoulli
  from tensorflow.python.ops.distributions import kullback_leibler
  from tensorflow.python.platform import test
  from tensorflow.python.platform import tf_logging
label_desc: Use image node_id 19 for calling the BernoulliTest obj's underlying member method code with example usage: obj.testMean() without return types