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Testing Multilingual Sentence Splitting Implementation in HanLP

This test suite validates the sentence splitting functionality in HanLP, focusing on end-of-sentence detection across different languages and punctuation patterns. The tests verify correct handling of both Chinese and English text segmentation.

Test Coverage Overview

The test coverage focuses on the split_sentence utility function, examining various end-of-sentence scenarios.

Key areas tested include:

Single character Chinese text handling
Chinese quotation marks with periods
English sentences with domain names
Mixed punctuation patterns

Implementation Analysis

The testing approach utilizes Python’s unittest framework with the TestRules class implementing specific test cases. The implementation employs assertListEqual for precise comparison of expected and actual sentence splits.

Testing patterns include:

Direct string comparison using list assertions
Multiple test cases in a single test method
Boundary case validation

Technical Details

Testing tools and configuration:

Python unittest framework
HanLP utility module integration
UTF-8 encoding specification
Direct method testing through test_eos

Best Practices Demonstrated

The test suite demonstrates several testing best practices in Python unit testing.

Notable practices include:

Clear test method naming conventions
Comprehensive assertion usage
Multiple test cases per scenario
Cross-language text handling
Modular test organization

hankcs/hanlp

tests/test_rules.py

            
# -*- coding:utf-8 -*-
# Author: hankcs
# Date: 2022-03-22 17:17
import unittest

from hanlp.utils.rules import split_sentence


class TestRules(unittest.TestCase):
    def test_eos(self):
        self.assertListEqual(list(split_sentence('叶')), ['叶'])
        self.assertListEqual(list(split_sentence('他说：“加油。”谢谢')), ['他说：“加油。”', '谢谢'])
        self.assertListEqual(list(split_sentence('Go to hankcs.com. Yes.')), ['Go to hankcs.com.', 'Yes.'])


if __name__ == '__main__':
    unittest.main()