code: def testMethods(self):
      spec = self._data_spec()
      capacity = 10
      rb = ReplayBufferTestClass(spec, capacity)
      with self.assertRaises(NotImplementedError):
          rb.as_dataset()
      with self.assertRaises(NotImplementedError):
          rb.as_dataset(single_deterministic_pass=True)
      with self.assertRaises(NotImplementedError):
          rb.get_next()
      with self.assertRaises(NotImplementedError):
          rb.add_batch(items=None)
  
file_path: agents/tf_agents/replay_buffers/replay_buffer_test.py
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import tensorflow
  from tf_agents import specs
  from tf_agents.replay_buffers import replay_buffer
label_desc: Use image node_id 4 for calling the ReplayBufferInitTest obj's underlying member method code with example usage: obj.testMethods() without return types