code: def test_wilcoxon():
      """Test wilcoxon."""
      expected = pd.DataFrame(
          data={"statistic": [0.0, 0.0, 0.0], "p_val": [0.5, 0.5, 0.5]}
      )
      evaluator, metrics_by_strategy = evaluator_setup(
          score_function=accuracy_score
      )
      results = evaluator.wilcoxon_test()
      assert results[expected.columns].equals(expected)
  
imports: import numpy
  import pandas
  import pytest
  from sklearn.metrics import accuracy_score
  from sktime.benchmarking.evaluation import Evaluator
  from sktime.benchmarking.metrics import PairwiseMetric
  from sktime.benchmarking.results import RAMResults
  from sktime.series_as_features.model_selection import PresplitFilesCV
  from sktime.utils.validation._dependencies import _check_soft_dependencies
label_desc: Use image node_id 10 for calling a global function with example usage: test_wilcoxon() without return types