feat: add divide(a, b) function to functions.py#17
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🎯 Core Changes
- Added a new
divide(a, b)function tofunctions.pythat performs division. - Introduced a new test suite
TestDivideFunctionintests/test_code_divide.pyto validate the behavior of thedividefunction using test cases from a JSON file.
- The
dividefunction does not handle division by zero, which could lead to runtime errors.
Code review performed by OPENAI - gpt-4o-mini.
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| def divide(a, b): | ||
| """Divide a by b.""" | ||
| return a / b |
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Consider adding error handling for division by zero in the divide function to prevent runtime exceptions.
| self.assertAlmostEqual(divide(a, b), case["expected"], places=7) | ||
| elif "expected_error" in case: | ||
| with self.subTest(a=a, b=b): | ||
| with self.assertRaises(eval(case["expected_error"])): |
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Using eval to execute the expected error type can be risky. Consider using a safer approach to handle expected exceptions.
feat: add multiply(a, b) function to functions.py (Test)
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🎯 Core Changes
- Added a new
multiply(a, b)function tofunctions.pythat performs multiplication. - Introduced a new test suite
TestMultiplyFunctionintests/test_multiply.pyto validate the behavior of themultiplyfunction using test cases from a JSON file.
- The
multiplyfunction lacks input validation, which could lead to unexpected behavior if non-numeric inputs are provided.
Code review performed by OPENAI - gpt-4o-mini.
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| def multiply(a, b): | ||
| """Multiply two numbers""" | ||
| return a * b |
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Consider adding input validation to the multiply function to ensure both inputs are numeric.
JACKSON-KIM-JAEHO
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May 21, 2025
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