Why PyTest is the most popular Python testing framework - Test Your Understanding

Practice - 5 Tasks

1fill in blank

easy

Complete the code to write a simple test function using PyTest.

PyTest

def test_addition():
    assert 1 + 1 == [1]

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

A1

B3

C2

D0

Attempts:

3 left

💡 Hint

Common Mistakes

Using the wrong expected value in the assertion.

The test checks if 1 + 1 equals 2, which is true, so the test will pass.

2fill in blank

medium

Complete the code to use a PyTest fixture for setup.

PyTest

import pytest

@pytest.fixture
def sample_data():
    return [1, 2, 3]

def test_sum([1]):
    assert sum([1]) == 6

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

Adata

Bsample_data

Cnumbers

Dinput_data

Attempts:

3 left

💡 Hint

Common Mistakes

Using a different parameter name than the fixture.

The test function must accept the fixture name sample_data as a parameter to use it.

3fill in blank

hard

Fix the error in the PyTest test function to correctly check for an exception.

PyTest

import pytest

def test_zero_division():
    with pytest.raises([1]):
        1 / 0

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

AZeroDivisionError

BValueError

CTypeError

DIndexError

Attempts:

3 left

💡 Hint

Common Mistakes

Using the wrong exception type in pytest.raises.

The code raises a ZeroDivisionError when dividing by zero, so the test must expect that exception.

4fill in blank

hard

Fill both blanks to create a parameterized test that checks multiple inputs.

PyTest

import pytest

@pytest.mark.parametrize("input,expected")
def test_multiply([1], [2]):
    assert input * 2 == expected

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

Ainput

Bexpected

Cvalue

Dresult

Attempts:

3 left

💡 Hint

Common Mistakes

Using parameter names that do not match the decorator.

The test function parameters must match the names in the parametrize decorator: input and expected.

5fill in blank

hard

Fill all three blanks to create a test that skips when a condition is met.

PyTest

import pytest

@pytest.mark.skipif([1], reason=[2])
def test_feature():
    assert [3] == 10

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

AFalse

B"Not supported on Windows"

C5 + 5

DTrue

Attempts:

3 left

💡 Hint

Common Mistakes

Using False as skip condition when test should skip.

Incorrect assertion expression.

The test is skipped if the condition is True. The reason explains why. The assertion checks if 5 + 5 equals 10.