code: def test_binary_ensemble(self):
      binary_ensemble = get_binary_metrics()
  
      predict, label = generate_predict_and_label(1000)
      result = binary_ensemble(predict=predict, label=label)
      print(result)
      print(type(result))
  
file_path: FATE/python/fate/ml/evaluation/test/test_metric_ensembles.py
imports: import numpy
  import unittest
  from fate.ml.evaluation import classification
  from fate.ml.evaluation.metric_base import MetricEnsemble
  from fate.ml.evaluation.tool import get_binary_metrics, get_specified_metrics, get_single_val_binary_metrics
label_desc: Use image node_id 1 for calling the TestMetric obj's underlying member method code with example usage: obj.test_binary_ensemble() without return types