code: def setUp(self):
      super(RldsToReverbTest, self).setUp()
  
      self._valid_episodes = generate_valid_episodes()
      self._invalid_episodes = generate_invalid_episodes()
  
      # Data spec corresponding to our test data. This data spec is used for
      #  1) Validation of create_trajectory_data_spec.
      #  2) Initializing Reverb server and Reverb Replay Buffer.
      self._data_spec = trajectory.Trajectory(
          tensor_spec.TensorSpec(
              shape=(), dtype=tf.int32, name="step_type"
          ),
          tensor_spec.TensorSpec(
              shape=(2,), dtype=tf.float32, name=None
          ),
          tensor_spec.TensorSpec(
              shape=(1,), dtype=tf.float32, name=None
          ),
          (),
          tensor_spec.TensorSpec(
              shape=(), dtype=tf.int32, name="step_type"
          ),
          tensor_spec.TensorSpec(shape=(), dtype=tf.float32, name=None),
          tensor_spec.BoundedTensorSpec(
              shape=(),
              dtype=tf.float32,
              name="discount",
              minimum=[0.0],
              maximum=[1.0],
          ),
      )
  
      self._table_name = "test_table"
  
      # Initialize Reverb server, Reverb Replay Buffer and Reverb Observer.
      uniform_table = reverb.Table(
          name=self._table_name,
          max_size=_REVERB_TABLE_SIZE,
          sampler=reverb.selectors.Uniform(),
          remover=reverb.selectors.Fifo(),
          rate_limiter=reverb.rate_limiters.MinSize(
              _REVERB_RATE_LIMITER
          ),
          signature=tensor_spec.add_outer_dim(self._data_spec),
      )
  
      self._server = reverb.Server([uniform_table])
  
      replay_buffer = reverb_replay_buffer.ReverbReplayBuffer(
          self._data_spec,
          sequence_length=_SEQUENCE_LENGTH,
          table_name=self._table_name,
          local_server=self._server,
      )
  
      self._reverb_observer = reverb_utils.ReverbAddTrajectoryObserver(
          replay_buffer.py_client,
          self._table_name,
          sequence_length=_SEQUENCE_LENGTH,
          stride_length=_STRIDE_LENGTH,
      )
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from typing import Dict, List, Tuple
  from absl.testing import parameterized
  import reverb
  from rlds import rlds_types
  import tensorflow
  from tf_agents.replay_buffers import reverb_replay_buffer
  from tf_agents.replay_buffers import reverb_utils
  from tf_agents.replay_buffers import rlds_to_reverb
  from tf_agents.specs import tensor_spec
  from tf_agents.trajectories import trajectory
  from tf_agents.utils import test_utils
label_desc: Use image node_id 1 for calling the RldsToReverbTest obj's underlying member method code with example usage: obj.setUp() without return types