code: def test_save_space():
      # test label issues df does not save
      cl = CleanLearning()
      cl.find_label_issues(X, y, save_space=True)
      assert cl.get_label_issues() is None
  
      # test label issues df deletes properly
      cl = CleanLearning()
      cl.find_label_issues(X, y)
      assert isinstance(cl.get_label_issues(), pd.DataFrame)
  
      cl.save_space()
      assert cl.get_label_issues() is None
  
imports: import pytest
  import random
  import numpy
  import pandas
  from sklearn.svm import SVR
  from sklearn.metrics import r2_score
  from sklearn.linear_model import LinearRegression
  from cleanlab.regression.rank import get_label_quality_scores, _get_residual_score_for_each_label, _get_outre_score_for_each_label
  from cleanlab.regression.learn import CleanLearning
label_desc: Use image node_id 14 for calling a global function with example usage: test_save_space() without return types