@pytest.fixture decorator - Test Execution Trace

Test Overview

This test uses the @pytest.fixture decorator to create a reusable setup function that provides a sample list. The test verifies that the list contains the expected number of elements.

Test Code - PyTest

PyTest

import pytest

@pytest.fixture
def sample_list():
    return [1, 2, 3, 4, 5]

def test_list_length(sample_list):
    assert len(sample_list) == 5

Execution Trace - 4 Steps

Step	Action	System State	Assertion	Result
1	PyTest collects test functions and fixtures	Test runner is ready with test_list_length and fixture sample_list	-	PASS
2	PyTest calls fixture sample_list before test_list_length	sample_list fixture returns [1, 2, 3, 4, 5]	-	PASS
3	test_list_length receives sample_list as argument and runs assertion	Inside test, sample_list is [1, 2, 3, 4, 5]	Check if length of sample_list is 5	PASS
4	Test completes successfully	Test runner shows test_list_length PASSED	-	PASS

Failure Scenario

Failing Condition: The fixture returns a list with incorrect length or test asserts wrong length

Execution Trace Quiz - 3 Questions

What does the @pytest.fixture decorator do in this test?

A Runs the test multiple times

B Marks the test to be skipped

C Defines a reusable setup function that provides data to tests

D Creates a test report

Key Result

Using @pytest.fixture helps keep test code clean by separating setup logic from test assertions, making tests easier to read and maintain.