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01

What is PyTest and how does it differ from unittest?

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PyTest is a mature, feature-rich Python testing framework that makes writing tests simple and scalable.

Key differences from unittest:

  • Simpler syntax: Uses plain assert statements vs self.assertEqual()
  • Automatic test discovery: No need for test suites
  • Rich plugin ecosystem: Extensive third-party support
  • Fixtures: Powerful dependency injection system
  • Parametrized testing: Built-in multiple input support
  • Better error reporting: More detailed failure messages
# PyTest style
def test_addition():
    assert 2 + 2 == 4

# unittest style
import unittest
class TestMath(unittest.TestCase):
    def test_addition(self):
        self.assertEqual(2 + 2, 4)
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02

How do you install and run PyTest?

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Installation via pip:

pip install pytest

Running tests:

pytest                    # Run all tests
pytest test_file.py       # Run specific file
pytest -v                 # Verbose output
pytest -k "test_name"     # Run tests matching pattern
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03

What are the naming conventions for PyTest test discovery?

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PyTest automatically discovers tests following these conventions:

  • Test files: test_*.py or *_test.py
  • Test functions: Functions starting with test_
  • Test classes: Classes starting with Test (no __init__ method)
  • Test methods: Methods in test classes starting with test_
# Valid test file: test_math.py
def test_addition():        # ✓ Discovered
    pass
class TestCalculator:       # ✓ Discovered
    def test_multiply(self): # ✓ Discovered
        pass
    def helper_method(self): # ✗ Not discovered
        pass
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04

How do you skip tests in PyTest?

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PyTest provides several ways to skip tests:

import pytest
@pytest.mark.skip(reason="Not implemented yet")
def test_feature():
    pass
@pytest.mark.skipif(sys.version_info < (3, 8), reason="Requires Python 3.8+")
def test_walrus_operator():
    pass
def test_conditional_skip():
    if not has_database_connection():
        pytest.skip("Database not available")
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05

What is the difference between test modules, test classes, and test functions?

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06

What are fixtures in PyTest and why are they useful?

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07

How do you test for exceptions in PyTest?

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Intermediate 19
08

How does PyTest's test discovery mechanism work?

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09

How can you organize tests in different directories?

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10

What are the different fixture scopes in PyTest?

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11

How do you create and use fixture dependencies?

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12

What is the difference between `yield` and `return` in fixtures?

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13

How do you use `conftest.py` files?

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14

How do you create parametrized tests in PyTest?

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15

How can you parametrize fixtures?

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16

What are markers in PyTest and how do you use them?

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17

How do you create custom markers?

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18

What is `pytest.ini` and what can you configure in it?

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19

What are PyTest's built-in assertion helpers?

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20

How do you use mocking in PyTest tests?

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21

How do you create mock fixtures?

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22

How do you handle test data and temporary files?

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23

How do you run tests in parallel with PyTest?

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24

How do you measure test coverage with PyTest?

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25

What are the best practices for writing maintainable PyTest tests?

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26

How do you debug failing tests in PyTest?

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Expert 7
27

How do you use `pytest.param` for complex parametrization?

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28

How does PyTest's assertion rewriting work?

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29

What are PyTest hooks and how do you use them?

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30

What is dependency injection in PyTest and how does it work?

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31

How do you handle flaky tests in PyTest?

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32

How do you optimize slow test suites?

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33

How do you test with modern Python features (type hints, dataclasses)?

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