class_docstr: Action record holding either maze_action objects of agent actions for later deterministic (seeded) replays.
  
  :param seed: The seed identifying the respective deterministic episode for the action record.
class_docstr_tok: ["Action","record","holding","either","maze_action","objects","of","agent","actions","for","later","deterministic","(","seeded",")","replays",".",":","param","seed",":","The","seed","identifying","the","respective","deterministic","episode","for","the","action","record","."]
code: def __len__(self) -> int:
      return max(len(self.maze_actions), len(self.agent_actions))
  
file_path: maze/maze/core/trajectory_recording/records/action_record.py
imports: import os
  import pickle
  from collections import defaultdict
  from typing import Dict
  from maze.core.env.action_conversion import ActionType
  from maze.core.env.maze_action import MazeActionType
  from maze.core.env.structured_env import ActorID
label_desc: Use image node_id 3 for calling the ActionRecord obj's underlying member method code with example usage: obj.__len__() and returns: max