class_docstr: Example of a curriculum learning capable env.
  
  This simply wraps a FrozenLake-v1 env and makes it harder with each
  task. Task (difficulty levels) can range from 1 to 10.
code: def reset(self, *, seed=None, options=None):
      if self.switch_env:
          self.switch_env = False
          self._make_lake()
      self._timesteps = 0
      return self.frozen_lake.reset(seed=seed, options=options)
  
file_path: ray/python/ray/rllib/examples/env/curriculum_capable_env.py
imports: import gymnasium
  import random
  from ray.rllib.env.apis.task_settable_env import TaskSettableEnv
  from ray.rllib.env.env_context import EnvContext
  from ray.rllib.utils.annotations import override
label_desc: Use image node_id 2 for calling the CurriculumCapableEnv obj's underlying member method code with example usage: obj.reset() and returns: self