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.
docstr: Implement this to sample n random tasks.
docstr_tok: ["Implement","this","to","sample","n","random","tasks","."]
code: def sample_tasks(self, n_tasks):
      """Implement this to sample n random tasks."""
      return [random.randint(1, 10) for _ in range(n_tasks)]
  
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 4 for calling the CurriculumCapableEnv obj's underlying member method code with example usage: obj.sample_tasks(n_tasks) and returns: unknown