code: def get_tuner_class_dict():
      config_file = str(get_config_file("registered_algorithms.yml"))
      if os.path.exists(config_file):
          with open(config_file, "r") as f:
              config = yaml.safe_load(f)
      else:
          config = {}
      ret = {}
      for t in ["tuners", "advisors"]:
          for entry in config[t]:
              ret[entry["builtinName"]] = entry["className"]
      return ret
  
file_path: nni/examples/trials/benchmarking/automlbenchmark/nni/extensions/NNI/tuners.py
imports: import os
  import yaml
  import importlib
  import nni
  from nni.runtime.config import get_config_file
  from nni.utils import MetricType
  from nni.tuner import Tuner
  from nni.runtime.msg_dispatcher_base import MsgDispatcherBase
  from amlb.benchmark import TaskConfig
label_desc: Use image node_id 1 for calling a global function with example usage: get_tuner_class_dict() and returns: ret