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.
class_docstr_tok: ["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 _make_lake(self):
      self.frozen_lake = gym.make(
          "FrozenLake-v1",
          desc=self.MAPS[self.cur_level - 1],
          is_slippery=False,
      )
  
file_path: 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 7 for calling the CurriculumCapableEnv obj's underlying member method code with example usage: obj._make_lake() without return types