code: def test_filter_metrics():
      settings = Report()
  
      metrics = [
          "distinct_pull",
          "filled_pull",
          "nan_pull",
          "mean_pull",
          "std_pull",
          "p05_pull",
          "p10_pull",
          "p50_pull",
          "p85_pull",
          "p95_pull",
          "max_pull",
          "min_pull",
          "fraction_true_trend10_zscore",
          "ref_unknown_labels",
          "prev1_ks_zscore",
          "ref_max_prob_diff",
      ]
      expected = [
          "distinct_pull",
          "filled_pull",
          "nan_pull",
          "mean_pull",
          "std_pull",
          "p05_pull",
          "p50_pull",
          "p95_pull",
          "max_pull",
          "min_pull",
          "fraction_true_trend10_zscore",
          "ref_unknown_labels",
          "prev1_ks_zscore",
          "ref_max_prob_diff",
      ]
      assert (
          filter_metrics(
              metrics,
              ignore_stat_endswith=[],
              show_stats=settings.show_stats,
          )
          == expected
      )
  
label_desc: Use image node_id 1 for calling a global function with example usage: test_filter_metrics() without return types