code: def testMeanNan(self):
      rt_as_list = [[0, 1, 2, 3], [4], [], [5, 6], [7], [8, 9]]
      expected = np.array(
          [0 + 1 + 2 + 3, 4, 0, 5 + 6, 7, 8 + 9]
      ) / np.array([4, 1, 0, 2, 1, 2])
      rt_input = ragged_factory_ops.constant(rt_as_list)
      reduced = ragged_math_ops.reduce_mean(rt_input, axis=1)
      self.assertEqualWithNan(self.evaluate(reduced), expected)
  
imports: from absl.testing import parameterized
  import numpy
  from tensorflow.python.eager import context
  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.ragged import ragged_factory_ops
  from tensorflow.python.ops.ragged import ragged_math_ops
  from tensorflow.python.platform import googletest
label_desc: Use image node_id 4 for calling the RaggedReduceOpsTest obj's underlying member method code with example usage: obj.testMeanNan() without return types