Flaky test management in Testing Fundamentals - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to mark a test as flaky in pytest.

Testing Fundamentals

@pytest.mark.[1]
def test_example():
    assert True

Drag options to blanks, or click blank then click option'

Aparametrize

Bskip

Cflaky

Dslow

Attempts:

3 left

💡 Hint

Common Mistakes

Using @pytest.mark.skip will skip the test instead of marking it flaky.

Using @pytest.mark.parametrize is for running tests with multiple inputs.

Using @pytest.mark.flaky marks the test as flaky so it can be retried or handled specially.

2fill in blank

medium

Complete the code to retry a flaky test up to 3 times using pytest-rerunfailures.

Testing Fundamentals

@pytest.mark.flaky(reruns=[1])
def test_flaky():
    assert random.choice([True, False])

Drag options to blanks, or click blank then click option'

A3

B1

C5

D0

Attempts:

3 left

💡 Hint

Common Mistakes

Setting reruns=0 disables retries.

Setting reruns=1 retries only once, which may be insufficient.

Setting reruns=3 retries the flaky test up to 3 times before failing.

3fill in blank

hard

Fix the error in the flaky test decorator syntax.

Testing Fundamentals

@pytest.mark.flaky(reruns=[1])
def test_network():
    assert ping_server()

Drag options to blanks, or click blank then click option'

A'3'

BNone

CTrue

D3

Attempts:

3 left

💡 Hint

Common Mistakes

Using a string '3' causes a type error.

Using True or None is invalid for reruns parameter.

reruns expects an integer, so 3 without quotes is correct.

4fill in blank

hard

Fill both blanks to create a dictionary of test names and their flaky status.

Testing Fundamentals

flaky_tests = {test_name: [1] for test_name in tests if tests[test_name] [2] True}

Drag options to blanks, or click blank then click option'

Atests[test_name]

Btest_name

C==

D!=

Attempts:

3 left

💡 Hint

Common Mistakes

Using test_name as value instead of flaky status.

Using '!=' instead of '==' causes wrong filtering.

We use tests[test_name] to get the flaky status and check if it equals True.

5fill in blank

hard

Fill both blanks to filter flaky tests and print their names.

Testing Fundamentals

for test, is_flaky in tests.items():
    if is_flaky [1] True:
        print(test,'Flaky test detected: '[2] test)

Drag options to blanks, or click blank then click option'

A==

B!=

C+

D,

Attempts:

3 left

💡 Hint

Common Mistakes

Using '!=' reverses the condition.

Using '+' instead of ',' in print causes syntax errors.

Using ',' instead of '+' for string concatenation inside print.

We check if is_flaky == True, then print with comma to separate, and use + to concatenate strings.