code: def test_variable_trainable(self, replicator_fn, trainable):
      replicator = replicator_fn()
      if replicator is None:
          self.skipTest("No replicator supplied.")
      with replicator.scope():
          v = tf.Variable(1.0, trainable=trainable)
      self.assertEqual(trainable, v.trainable)
  
imports: import os
  from absl import logging
  from absl.testing import parameterized
  from sonnet.src import initializers
  from sonnet.src import test_utils
  from sonnet.src.distribute import replicator
  from sonnet.src.distribute import replicator_test_utils
  import tensorflow
label_desc: Use image node_id 4 for calling the ReplicatorTest obj's underlying member method code with example usage: obj.test_variable_trainable(replicator_fn, trainable) without return types