code: def generate_predict_and_label(num):
      predict = np.random.random_sample(num)
      label = np.random.randint(0, 2, num)
      return predict, label
  
file_path: FATE/python/fate/ml/evaluation/test/test_classi_table_metric.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 1 for calling a global function with example usage: generate_predict_and_label(num) and returns: predict,  label