code: def test_benchmark_with_selection(benchmark):
      df = create_data(500, 20)
      y = pd.Series(np.random.choice([0, 1], 20))
  
      benchmark(
          extract_relevant_features,
          df,
          y,
          column_id="id",
          column_sort="time",
          n_jobs=0,
          disable_progressbar=True,
      )
  
file_path: tsfresh/tests/benchmark.py
imports: import numpy
  import pandas
  import pytest
  from tsfresh import extract_features, extract_relevant_features
  from tsfresh.feature_extraction.settings import ComprehensiveFCParameters, MinimalFCParameters
label_desc: Use image node_id 4 for calling a global function with example usage: test_benchmark_with_selection(benchmark) without return types