code: def test_confusion_matrix_merge(self):
      y_pred = [1, 0, 1, 0, 1, 0, 0]
      y_true = [1, 1, 0, 0, 1, 0, 1]
      confusion_matrix = _classification.ConfusionMatrixAggFn()
      baseline = _classification._ConfusionMatrix(
          tp=1, tn=1, fp=1, fn=1
      )
      acc = confusion_matrix.add_inputs(baseline, y_true, y_pred)
      acc_other = confusion_matrix.add_inputs(None, y_true, y_pred)
      actual = confusion_matrix.merge_accumulators([acc, acc_other])
      expected = _classification._ConfusionMatrix(
          tp=5, tn=5, fp=3, fn=5
      )
      self.assertEqual(expected, actual)
  
imports: from absl.testing import absltest
  from absl.testing import parameterized
  import numpy
  from tensorflow_model_analysis.experimental.metrics.aggregates import _classification
label_desc: Use image node_id 8 for calling the ClassificationTest obj's underlying member method code with example usage: obj.test_confusion_matrix_merge() without return types