Which approach correctly uses ids to help identify the skipped test case?
hard🚀 Application Q15 of 15
PyTest - Parametrize
You want to parametrize a test with inputs [(0, 'zero'), (1, 'one'), (2, 'two')] but want to skip the test case where the number is zero using IDs. Which approach correctly uses ids to help identify the skipped test case?
A@pytest.mark.parametrize('num,word', [(0,'zero'),(1,'one'),(2,'two')], ids=lambda val: f"skip_{val[0]}" if val[0]==0 else f"num_{val[0]}")
We want to label the zero case clearly as 'skip_zero' to identify it easily in reports.
Step 2: Evaluate each option's IDs usage
@pytest.mark.parametrize('num,word', [(0,'zero'),(1,'one'),(2,'two')], ids=['skip_zero', 'num_one', 'num_two']) uses a list of strings with 'skip_zero' for zero, which is clear and correct. The lambda in @pytest.mark.parametrize('num,word', [(0,'zero'),(1,'one'),(2,'two')], ids=lambda val: f"skip_{val[0]}" if val[0]==0 else f"num_{val[0]}") is corrected to accept a single tuple argument as pytest passes. The options with ids=['num_0', 'num_1', 'num_2'] and ids=['zero', 'one', 'two'] do not label zero as skipped.
Final Answer:
@pytest.mark.parametrize('num,word', [(0,'zero'),(1,'one'),(2,'two')], ids=['skip_zero', 'num_one', 'num_two']) -> Option B
Quick Check:
Use explicit ID list to mark skipped case [OK]
Quick Trick:Use explicit ID list to label skipped cases [OK]
Common Mistakes:
MISTAKES
Using lambda incorrectly for IDs
Not labeling skipped cases clearly
Using generic IDs without skip info
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