code: def testAddSingleSampleBatch(self):
      batch_size = 1
      spec = self._data_spec()
      replay_buffer = tf_uniform_replay_buffer.TFUniformReplayBuffer(
          spec, batch_size=batch_size, max_length=10
      )
  
      values, add_op = _get_add_op(spec, replay_buffer, batch_size)
      sample, _ = replay_buffer.get_next(sample_batch_size=3)
  
      self.evaluate(tf.compat.v1.global_variables_initializer())
      self.evaluate(add_op)
      values_ = self.evaluate(values)
      sample_ = self.evaluate(sample)
      tf.nest.map_structure(
          lambda x, y: self._assertContains([x], list(y)),
          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 7 for calling the TFUniformReplayBufferTest obj's underlying member method code with example usage: obj.testAddSingleSampleBatch() without return types