[Solved] Which Python syntax correctly defines a data-driven test using pytest's parametrize decorator? — Ans: @pytest.mark.parametrize('input', [1, 2, 3])\ndef test_example(input):\n assert... | Selenium Python

Selenium Python - Data-Driven Testing

Which Python syntax correctly defines a data-driven test using pytest's parametrize decorator?

A@pytest.mark.parametrize('input', [1, 2, 3])\ndef test_example(input):\n assert input > 0

B@pytest.parametrize('input', [1, 2, 3])\ndef test_example(input):\n assert input > 0

C@pytest.mark.parametrized('input', [1, 2, 3])\ndef test_example(input):\n assert input > 0

D@pytest.mark.parametrize('input')\ndef test_example(input):\n assert input > 0

Step-by-Step Solution

Solution:

Step 1: Recall correct pytest parametrize syntax
The correct decorator is @pytest.mark.parametrize with two arguments: parameter name and list of values.
Step 2: Check each option
@pytest.mark.parametrize('input', [1, 2, 3])\ndef test_example(input):\n assert input > 0 uses correct spelling and arguments. Others have typos or missing arguments.
Final Answer:
@pytest.mark.parametrize('input', [1, 2, 3])\ndef test_example(input):\n assert input > 0 -> Option A
Quick Check:
Correct decorator spelling and arguments = @pytest.mark.parametrize('input', [1, 2, 3])\ndef test_example(input):\n assert input > 0 [OK]

Quick Trick: Use @pytest.mark.parametrize with parameter and list [OK]

Common Mistakes:

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Which Python syntax correctly defines a data-driven test using pytest's parametrize decorator?