How to use the pyhanlp.SafeJClass function in pyhanlp

# -*- coding:utf-8 -*-
# Author：hankcs
# Date: 2018-05-23 17:26
import os

from pyhanlp import SafeJClass
from tests.test_utility import ensure_data

NaiveBayesClassifier = SafeJClass('com.hankcs.hanlp.classification.classifiers.NaiveBayesClassifier')
IOUtil = SafeJClass('com.hankcs.hanlp.corpus.io.IOUtil')
sogou_corpus_path = ensure_data('搜狗文本分类语料库迷你版',
                                'http://file.hankcs.com/corpus/sogou-text-classification-corpus-mini.zip')


def train_or_load_classifier():
    model_path = sogou_corpus_path + '.ser'
    if os.path.isfile(model_path):
        return NaiveBayesClassifier(IOUtil.readObjectFrom(model_path))
    classifier = NaiveBayesClassifier()
    classifier.train(sogou_corpus_path)
    model = classifier.getModel()
    IOUtil.saveObjectTo(model, model_path)
    return NaiveBayesClassifier(model)


def predict(classifier, text):

# -*- coding:utf-8 -*-
# Author：hankcs
# Date: 2018-05-23 17:26
import os

from pyhanlp import SafeJClass
from tests.test_utility import ensure_data

NaiveBayesClassifier = SafeJClass('com.hankcs.hanlp.classification.classifiers.NaiveBayesClassifier')
IOUtil = SafeJClass('com.hankcs.hanlp.corpus.io.IOUtil')
sogou_corpus_path = ensure_data('搜狗文本分类语料库迷你版',
                                'http://file.hankcs.com/corpus/sogou-text-classification-corpus-mini.zip')


def train_or_load_classifier():
    model_path = sogou_corpus_path + '.ser'
    if os.path.isfile(model_path):
        return NaiveBayesClassifier(IOUtil.readObjectFrom(model_path))
    classifier = NaiveBayesClassifier()
    classifier.train(sogou_corpus_path)
    model = classifier.getModel()
    IOUtil.saveObjectTo(model, model_path)
    return NaiveBayesClassifier(model)

if sys.version_info[0] < 3:
    reload(sys)
    sys.setdefaultencoding("utf-8")
    # raise "Must be using Python 3"

from absl import flags  # absl-py
from absl import logging  # absl-py

FLAGS = flags.FLAGS
import unittest
import threading
import time
from pyhanlp import HanLP, SafeJClass

# 在线程体外部用SafeJClass线程安全地引入类名
CRFLexicalAnalyzer = SafeJClass("com.hankcs.hanlp.model.crf.CRFLexicalAnalyzer")


class MyThread(threading.Thread):
    def __init__(self, name, counter, analyzer):
        threading.Thread.__init__(self)
        self.thread_name = name
        self.counter = counter
        self.analyzer = analyzer

    def run(self):
        print("Starting " + self.thread_name)
        while self.counter:
            time.sleep(1)
            sentence = self.analyzer.analyze("商品和服务")
            print("%s: %s, seg: %s" % (self.thread_name, time.ctime(time.time()), sentence))
            self.counter -= 1