code: def make_default_tuning_space(min_samples, max_samples):
      space = {
          "boosting": "gbdt",
          "learning_rate": 0.02,
          "num_iterations": 250,
          "min_data_in_leaf": (min_samples, max_samples),
          "min_sum_hessian_in_leaf": 0.1,
          "num_leaves": (2, 25),
          "bagging_fraction": (0.1, 1.0),
          "feature_fraction_bynode": (0.1, 1.0),
          "cat_smooth": (0, 25),
      }
      return space
  
label_desc: Use image node_id 1 for calling a global function with example usage: make_default_tuning_space(min_samples, max_samples) and returns: space