code: def _data_spec(self):
      return [
          specs.TensorSpec([3], tf.float32, "action"),
          [
              specs.TensorSpec([5], tf.float32, "lidar"),
              specs.TensorSpec([3, 2], tf.float32, "camera"),
          ],
      ]
  
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 4 for calling the TFUniformReplayBufferTest obj's underlying member method code with example usage: obj._data_spec() and returns: list