code: def test_multi_group(self):
      y_true = [
          0,
          1,
          0,
          1,
          0,
          1,
          1,
          1,
          1,
          0,
          0,
          1,
          1,
          0,
          1,
          0,
          1,
          1,
          0,
          1,
          0,
          1,
          0,
          0,
          1,
          0,
      ]
      y_pred = [
          0,
          0,
          1,
          1,
          1,
          1,
          0,
          1,
          1,
          1,
          0,
          0,
          0,
          0,
          1,
          1,
          1,
          1,
          1,
          0,
          1,
          1,
          1,
          0,
          0,
          0,
      ]
  
      assert 26 == metrics.count(y_true, y_pred)
  
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 3 for calling the TestCount obj's underlying member method code with example usage: obj.test_multi_group() without return types