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GitHub Copilot can help you generate unit tests quickly and efficiently. It uses AI to provide real-time code suggestions, making it easier to cover various scenarios and edge cases.
Example in Python
Suppose you have a function to validate the price of an item:
def validate_price(price: float):if price <= 0:raise ValueError("Price must be greater than 0")if price > 1000:raise ValueError("Price must be less than or equal to 1000")To generate unit tests for this function using GitHub Copilot, you can use the following prompt in Copilot Chat: /tests create tests for validate_price. Check the edge cases as well.
The generated tests might look like this:
import unittestfrom your_module import validate_priceclass TestValidatePrice(unittest.TestCase):def test_price_zero(self):with self.assertRaises(ValueError) as context:validate_price(0)self.assertEqual(str(context.exception), "Price must be greater than 0")def test_price_negative(self):with self.assertRaises(ValueError) as context:validate_price(-10)self.assertEqual(str(context.exception), "Price must be greater than 0")def test_price_above_limit(self):with self.assertRaises(ValueError) as context:validate_price(1500)self.assertEqual(str(context.exception), "Price must be less than or equal to 1000")def test_price_valid(self):try:validate_price(500)except ValueError:self.fail("validate_price() raised ValueError unexpectedly!")if __name__ == '__main__':unittest.main() How to generate unit tests with GitHub Copilot: Tips …
Dec 5, 2024 · Instead of manually writing every test case, you can use GitHub Copilot to generate tests on your behalf by highlighting your code or logic, and let Copilot suggest unit tests to cover a range of inputs and edge cases.
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