code: def generate_episode(self, episode_type, episode_index, length):
      episode = []
      action_dim = 8
      obs_dim = 16
      for k in range(length):
          if k == 0:
              action = None
          else:
              action = np.concatenate(
                  [
                      np.asarray(
                          [episode_type, episode_index],
                          dtype=np.float32,
                      ),
                      np.random.uniform(0.0, 1.0, (action_dim - 2,)),
                  ]
              )
          observation = np.concatenate(
              [
                  np.asarray(
                      [episode_type, episode_index], dtype=np.float32
                  ),
                  np.random.uniform(0.0, 1.0, (obs_dim - 2,)),
              ]
          )
          if k == 0:
              timestep = dm_env.restart(observation)
          elif k == length - 1:
              timestep = dm_env.termination(0.0, observation)
          else:
              timestep = dm_env.transition(0.0, observation, 1.0)
          episode.append((action, timestep))
      return episode
  
file_path: acme/acme/agents/jax/lfd/lfd_adder_test.py
imports: import collections
  from acme import adders
  from acme import types
  from acme.agents.jax.lfd import lfd_adder
  import dm_env
  import numpy
  from absl.testing import absltest
label_desc: Use image node_id 2 for calling the LfdAdderTest obj's underlying member method code with example usage: obj.generate_episode(episode_type, episode_index, length) and returns: episode