code: def test_predictionns_are_arraylike(non_array_input):
      for new_input in non_array_input:
          with pytest.raises(ValueError) as error:
              get_label_quality_scores(
                  labels=labels, predictions=new_input
              )
              assert error.type == ValueError
  
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 5 for calling a global function with example usage: test_predictionns_are_arraylike(non_array_input) without return types