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The Testing Hack That Makes Bugs Easier to Catch (and Code Easier to Read)
- Table-driven testing is a paradigm where multiple test cases are defined in a structured format with inputs and expected outputs.
- Instead of multiple test functions, a single function processes the test cases by iterating through them.
- Benefits include reduced code duplication, improved maintainability, better test coverage visibility, and ease of adding new test cases.
- Table-driven testing is well-suited for unit tests, especially for pure functions with predictable outputs.
- In Go, the testing framework supports this approach by using a structured table for test cases.
- Table-driven testing can also be implemented in Python with frameworks like unittest or pytest, using subtests or parametrize.
- The .subTest() context manager in unittest and pytest's parametrize decorator enable creating subtests for individual test cases.
- While the paradigm offers benefits, it may not be suitable for testing scenarios involving complex setup, side effects, sequence dependency, or complex assertions.
- In conclusion, table-driven testing provides a structured and maintainable way to test multiple input/output combinations effectively.
- It excels in unit testing but may not be ideal for more complex testing scenarios like UI or integration testing.
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