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Testing Concurrent Tokenizer Initialization in Jieba Chinese Text Segmentation

This test suite evaluates the thread-safety and concurrent initialization capabilities of the Jieba Chinese text segmentation tokenizer. It verifies proper handling of multiple tokenizer instances being initialized simultaneously across different threads, testing both default and custom dictionary configurations.

Test Coverage Overview

The test suite provides comprehensive coverage of concurrent tokenizer initialization scenarios.

Tests multiple independent tokenizer instances with parallel initialization
Verifies thread safety with both default and custom dictionary configurations
Validates concurrent access patterns across different thread groups
Tests resource handling during simultaneous tokenizer initialization

Implementation Analysis

The testing approach employs Python’s threading module to create multiple concurrent initialization scenarios.

The test implements two distinct test cases:

Multiple independent tokenizers with parallel initialization
Single shared tokenizer accessed by multiple threads

Each case uses thread groups to validate different initialization patterns and resource sharing scenarios.

Technical Details

Technical implementation specifics include:

Python threading module for concurrent execution
Jieba Tokenizer class with both default and custom dictionary paths
Thread synchronization using join() operations
Custom initialization tracking through thread identification
Resource cleanup through explicit deletion of tokenizer instances

Best Practices Demonstrated

The test demonstrates several testing best practices for concurrent systems:

Proper thread synchronization and cleanup
Systematic testing of different initialization scenarios
Clear separation of test cases for independent and shared resources
Explicit resource management and cleanup
Comprehensive logging of thread execution states

fxsjy/jieba

test/test_lock.py

            
#!/usr/bin/env python
# -*- coding: utf-8 -*-

import jieba
import threading

def inittokenizer(tokenizer, group):
	print('===> Thread %s:%s started' % (group, threading.current_thread().ident))
	tokenizer.initialize()
	print('<=== Thread %s:%s finished' % (group, threading.current_thread().ident))

tokrs1 = [jieba.Tokenizer() for n in range(5)]
tokrs2 = [jieba.Tokenizer('../extra_dict/dict.txt.small') for n in range(5)]

thr1 = [threading.Thread(target=inittokenizer, args=(tokr, 1)) for tokr in tokrs1]
thr2 = [threading.Thread(target=inittokenizer, args=(tokr, 2)) for tokr in tokrs2]
for thr in thr1:
	thr.start()
for thr in thr2:
	thr.start()
for thr in thr1:
	thr.join()
for thr in thr2:
	thr.join()

del tokrs1, tokrs2

print('='*40)

tokr1 = jieba.Tokenizer()
tokr2 = jieba.Tokenizer('../extra_dict/dict.txt.small')

thr1 = [threading.Thread(target=inittokenizer, args=(tokr1, 1)) for n in range(5)]
thr2 = [threading.Thread(target=inittokenizer, args=(tokr2, 2)) for n in range(5)]
for thr in thr1:
	thr.start()
for thr in thr2:
	thr.start()
for thr in thr1:
	thr.join()
for thr in thr2:
	thr.join()