code: def test_some_correct_other_labels(self):
      y_true = ["a", "a", "a", "a", "b", "b"]
      y_pred = ["b", "b", "a", "b", "b", "a"]
  
      result = metrics.false_negative_rate(
          y_true, y_pred, pos_label="a"
      )
      assert result == 0.75
      result = metrics.false_negative_rate(
          y_true, y_pred, pos_label="b"
      )
      assert result == 0.5
  
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 5 for calling the TestFNR obj's underlying member method code with example usage: obj.test_some_correct_other_labels() without return types