code: def get_cont_data(rs):
      X = rs.rand(20, 10)
      Y = rs.rand(10, 1)
      n_dims = 10
  
      return X, Y, n_dims
  
imports: from unittest.mock import patch
  import numpy
  import pytest
  import scipy.optimize
  import sklearn.datasets
  import sklearn.model_selection
  from ConfigSpace import CategoricalHyperparameter, ConfigurationSpace, EqualsCondition, UniformFloatHyperparameter
  from smac.model.gaussian_process.gaussian_process import GaussianProcess
  from smac.model.gaussian_process.priors import HorseshoePrior, LogNormalPrior
  from smac.utils.configspace import convert_configurations_to_array
label_desc: Use image node_id 2 for calling a global function with example usage: get_cont_data(rs) and returns: X,  Y,  n_dims