code: def test_against_sklearn(self):
      y_true = [0, 1, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 0, 0, 1, 0]
      y_pred = [1, 1, 1, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1]
  
      result = metrics.false_negative_rate(y_true, y_pred)
      result_skm = 1 - skm.recall_score(y_true, y_pred)
      assert result == pytest.approx(result_skm)
  
      result = metrics.false_negative_rate(y_true, y_pred, pos_label=0)
      result_skm = 1 - skm.recall_score(y_true, y_pred, pos_label=0)
      assert result == pytest.approx(result_skm)
  
imports: import numpy
  import pytest
  import sklearn.metrics
  import fairlearn.metrics
  from fairlearn.metrics._base_metrics import _get_labels_for_confusion_matrix
label_desc: Use image node_id 6 for calling the TestFNR obj's underlying member method code with example usage: obj.test_against_sklearn() without return types