code: def test_other_order():
      plot_model_comparison(
          y_axis_metric=accuracy_score,
          x_axis_metric=make_derived_metric(
              metric=selection_rate, transform="difference"
          ),
          y_true=y_t,
          y_preds=y_p,
          sensitive_features=g_1,
      )
  
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 13 for calling a global function with example usage: test_other_order() without return types