code: def test_wrong_shape():
      with pytest.raises(IndexError):
          plot_model_comparison(
              x_axis_metric=accuracy_score,
              y_axis_metric=make_derived_metric(
                  metric=selection_rate, transform="difference"
              ),
              y_true=y_t,
              y_preds=y_p + [1],
              sensitive_features=g_1,
              point_labels=True,
              show_plot=False,
          )
  
imports: from fairlearn.metrics import plot_model_comparison, make_derived_metric, selection_rate
  from sklearn.metrics import accuracy_score
  import numpy
  from .data_for_test import g_1, y_p, y_t
  import pytest
label_desc: Use image node_id 4 for calling a global function with example usage: test_wrong_shape() without return types