code: def suggest(rng, space):
      params = {}
      for key, spec in space.items():
          if spec.is_activated_in(params):
              params[key] = suggest_parameter(rng, spec)
      return params
  
file_path: nni/nni/algorithms/hpo/random_tuner.py
imports: from __future__ import annotations
  import logging
  import numpy
  import schema
  from nni import ClassArgsValidator
  from nni.common.hpo_utils import Deduplicator, format_search_space, deformat_parameters
  from nni.tuner import Tuner
label_desc: Use image node_id 1 for calling a global function with example usage: suggest(rng, space) and returns: params