code: def test_input_shape_predictions():
      with pytest.raises(AssertionError) as error:
          get_label_quality_scores(
              labels=labels, predictions=predictions[:-1]
          )
      assert (
          str(error.value)
          == f"Number of examples in labels {labels.shape} and predictions {predictions[:-1].shape} are not same."
      )
  
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 7 for calling a global function with example usage: test_input_shape_predictions() without return types