code: def testAdd(self, batch_size):
      spec = self._data_spec()
      replay_buffer = tf_uniform_replay_buffer.TFUniformReplayBuffer(
          spec,
          batch_size=batch_size,
          max_length=10,
          scope="rb{}".format(batch_size),
      )
  
      values, add_op = _get_add_op(spec, replay_buffer, batch_size)
      sample, _ = replay_buffer.get_next()
  
      self.evaluate(tf.compat.v1.global_variables_initializer())
      self.evaluate(add_op)
      sample_ = self.evaluate(sample)
      values_ = self.evaluate(values)
      tf.nest.map_structure(self.assertAllClose, values_, sample_)
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from absl.testing import parameterized
  import numpy
  import tensorflow
  from tf_agents import specs
  from tf_agents.replay_buffers import tf_uniform_replay_buffer
  from tf_agents.utils import common
  from tf_agents.utils import test_utils
label_desc: Use image node_id 5 for calling the TFUniformReplayBufferTest obj's underlying member method code with example usage: obj.testAdd(batch_size) without return types