Back to Repositories

Testing Configuration Parameter Tracking in HanLP

This test suite validates the ConfigTracker functionality in HanLP, focusing on configuration parameter tracking and initialization behavior. The tests ensure proper inheritance and config storage mechanisms for class instantiation.

Test Coverage Overview

The test suite covers essential configuration tracking functionality in HanLP.

Key areas tested include:

Parameter initialization and storage
Default value handling
Config dictionary access
Inheritance behavior with ConfigTracker

Implementation Analysis

The testing approach utilizes Python’s unittest framework with a focus on object instantiation and config verification. The implementation demonstrates inheritance-based testing patterns, using a test class that extends ConfigTracker to verify configuration capture behavior.

Technical implementation features:

Class inheritance verification
Config dictionary validation
Parameter persistence testing

Technical Details

Testing tools and configuration:

Python unittest framework
ConfigTracker base class
Local variable capture through super().__init__
Dictionary-based config storage
Assertion-based validation

Best Practices Demonstrated

The test suite exemplifies several testing best practices including isolated test cases, clear inheritance structure, and proper assertion usage. Notable practices include:

Clean test class organization
Focused test scope
Effective use of unittest assertions
Proper test case naming
Configuration isolation

hankcs/hanlp

tests/test_config_tracker.py

            
import unittest

from hanlp.common.structure import ConfigTracker


class MyClass(ConfigTracker):
    def __init__(self, i_need_this='yes') -> None:
        super().__init__(locals())


class TestConfigTracker(unittest.TestCase):
    def test_init(self):
        obj = MyClass()
        self.assertEqual(obj.config.get('i_need_this', None), 'yes')


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