code: def episode():
      episode = []
      for i in range(10):
          episode.append(
              Transition(
                  state={
                      "observation": np.array([i]),
                      "desired_goal": np.array([i]),
                      "achieved_goal": np.array([i]),
                  },
                  action=i,
              )
          )
      return episode
  
file_path: coach/rl_coach/tests/memories/test_hindsight_experience_replay.py
imports: import os
  import sys
  from rl_coach.memories.episodic.episodic_hindsight_experience_replay import EpisodicHindsightExperienceReplayParameters
  from rl_coach.spaces import GoalsSpace, ReachingGoal
  import pytest
  import numpy
  from rl_coach.core_types import Transition, Episode
  from rl_coach.memories.memory import MemoryGranularity
  from rl_coach.memories.episodic.episodic_hindsight_experience_replay import EpisodicHindsightExperienceReplay, HindsightGoalSelectionMethod
label_desc: Use image node_id 1 for calling a global function with example usage: episode() and returns: episode