code: def testSplitInFunction(self, alg):
      g = random.Generator.from_seed(1, alg=alg)
      if alg == random_ops_util.Algorithm.THREEFRY:
          # We don't have CPU/GPU kernels for ThreeFry yet.
          return
      new_g = [None]  # using list as mutable cells
  
      @def_function.function
      def f():
          if new_g[0] is None:  # avoid creating variable in 2nd trace
              new_g[0] = g.split(2)
          return [new_g[0][i].normal([]) for i in range(2)]
  
      f()
  
imports: import os
  import re
  from absl.testing import parameterized
  import numpy
  from tensorflow.python.checkpoint import checkpoint
  from tensorflow.python.eager import context
  from tensorflow.python.eager import def_function
  from tensorflow.python.framework import config
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import errors
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import test_util
  from tensorflow.python.kernel_tests.random import util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import gen_random_ops
  from tensorflow.python.ops import gen_stateful_random_ops
  from tensorflow.python.ops import logging_ops
  from tensorflow.python.ops import random_ops_util
  from tensorflow.python.ops import stateful_random_ops
  from tensorflow.python.ops import variables
  from tensorflow.python.platform import test
label_desc: Use image node_id 8 for calling the StatefulRandomOpsTest obj's underlying member method code with example usage: obj.testSplitInFunction(alg) and returns: unknown