class_docstr: Simple Env that yields a ts counter as observation (0-based).
  
  Actions have no effect.
  The episode length is always 15.
  Reward is always: current ts % 3.
code: def reset(self, *, seed=None, options=None):
      self.i = self.start_at_t
      return self._get_obs(), {}
  
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 DebugCounterEnv obj's underlying member method code with example usage: obj.reset() and returns: self,  dict