code: def configspace(self) -> ConfigurationSpace:
      cs = ConfigurationSpace(seed=0)
      x0 = Float("x0", (-5, 10), default=-3)
      x1 = Float("x1", (-5, 10), default=-4)
      cs.add_hyperparameters([x0, x1])
  
      return cs
  
file_path: SMAC3/tests/fixtures/models.py
imports: from __future__ import annotations
  import warnings
  import numpy
  import pytest
  from ConfigSpace import Categorical, Configuration, ConfigurationSpace, Float
  from sklearn.linear_model import SGDClassifier
  from sklearn.model_selection import StratifiedKFold, cross_val_score
label_desc: Use image node_id 1 for calling the Rosenbrock2D obj's underlying member method code with example usage: obj.configspace() and returns: cs