code: def reset(self, *, seed=None, options=None):
      self.timesteps = [0] * self.num_agents
      self.terminateds = set()
      self.truncateds = set()
      return {
          i: np.array([i, 0.0, 0.0, 0.0], dtype=np.float32)
          for i in range(self.num_agents)
      }, {}
  
file_path: ray/python/ray/rllib/examples/env/debug_counter_env.py
imports: import gymnasium
  import numpy
  from ray.rllib.env.multi_agent_env import MultiAgentEnv
label_desc: Use image node_id 2 for calling the MultiAgentDebugCounterEnv obj's underlying member method code with example usage: obj.reset() and returns: unknown,  dict