code: def test_MultiRecall(self):
      multi_recall_metric = MultiRecall()
      predict = np.random.random_sample((1000, 3))
      label = np.random.randint(0, 3, 1000)
      result = multi_recall_metric(predict, label)
      print(result.to_dict())
      self.assertEqual(result.metric_name, "multi_recall")
      self.assertAlmostEqual(
          result.result,
          recall_score(label, predict.argmax(axis=-1), average="micro"),
          places=7,
      )
  
file_path: FATE/python/fate/ml/evaluation/test/test_classi_metrci.py
imports: import unittest
  import numpy
  from sklearn.metrics import roc_auc_score, accuracy_score, recall_score, precision_score, f1_score
  from sklearn.preprocessing import LabelBinarizer
  from fate.ml.evaluation.classification import *
label_desc: Use image node_id 3 for calling the TestMetric obj's underlying member method code with example usage: obj.test_MultiRecall() without return types