code: def test_experimental_distribute_datasets_from_function(
      self, strategy
  ):
      sequence_length = 3
      batch_size = 10
      self._insert_random_data(
          self._env,
          num_steps=sequence_length,
          sequence_length=sequence_length,
      )
  
      replay = reverb_replay_buffer.ReverbReplayBuffer(
          self._data_spec,
          self._table_name,
          sequence_length=sequence_length,
          local_server=self._server,
      )
  
      num_replicas = strategy.num_replicas_in_sync
      with strategy.scope():
          dataset = (
              strategy.experimental_distribute_datasets_from_function(
                  lambda _: replay.as_dataset(
                      batch_size // num_replicas
                  )
              )
          )
          iterator = iter(dataset)
  
      @common.function()
      def train_step():
          with strategy.scope():
              sample, _ = next(iterator)
              _, step = sample.observation
              loss = strategy.run(
                  lambda x: tf.reduce_mean(x, axis=-1), args=(step,)
              )
              return strategy.reduce(
                  tf.distribute.ReduceOp.SUM, loss, axis=0
              )
  
      # Test running eagerly
      for _ in range(5):
          with strategy.scope():
              loss = train_step()
              self.assertEqual(batch_size, loss)
  
      # Test with wrapping into a tf.function
      train_step_fn = common.function(train_step)
      for _ in range(5):
          with strategy.scope():
              loss = train_step_fn()
              self.assertEqual(batch_size, loss)
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from absl.testing import parameterized
  import reverb
  import tensorflow
  from tf_agents.drivers import py_driver
  from tf_agents.environments import test_envs
  from tf_agents.policies import random_py_policy
  from tf_agents.replay_buffers import reverb_replay_buffer
  from tf_agents.replay_buffers import reverb_utils
  from tf_agents.specs import array_spec
  from tf_agents.specs import tensor_spec
  from tf_agents.trajectories import trajectory
  from tf_agents.utils import common
  from tf_agents.utils import test_utils
label_desc: Use image node_id 20 for calling the ReverbReplayBufferTest obj's underlying member method code with example usage: obj.test_experimental_distribute_datasets_from_function(strategy) and returns: strategy