How to Use Fudge.patch With Pytest?

Best Testing Tools with Fudge.patch to Buy in October 2025

1

WINAMOO Automotive Test Light with 3-48V LED Digital Voltage Display, Auto Circuit Tester with Voltmeter & Dual Color Polarity Indicate, Electric Test Pen w/Stainless Probe for Car/Truck/SUV Checker

• QUICK VOLTAGE TESTING: DIAGNOSE ISSUES IN 3V-48V SYSTEMS RAPIDLY.

• BRIGHT LED DISPLAY: CLEAR READINGS IN ANY LIGHTING; EASY TO READ QUICKLY.

• DURABLE & SAFE DESIGN: ERGONOMIC, SHATTER-PROOF BUILD ENSURES RELIABILITY.

BUY & SAVE

$8.45

2

Klein Tools 69149P Electrical Test Kit with Digital Multimeter, Non-Contact Voltage Tester and Electrical Outlet Tester, Leads and Batteries

• VERSATILE MULTIMETER WITH 600V AC/DC AND 10A CURRENT MEASUREMENT.
• INSTANT CONTINUITY TESTING WITH VISUAL AND AUDIBLE ALERTS.
• NON-CONTACT VOLTAGE DETECTION WITH BRIGHT LED AND SOUND ALERTS.

BUY & SAVE

$39.97 $44.98

Save 11%

3

Klein Tools RT250 GFCI Outlet Tester with LCD Display, Electric Voltage Tester for Standard 3-Wire 120V Electrical Receptacles

• LARGE BACKLIT LCD FOR EASY VOLTAGE READING AND WIRING STATUS.

• TRIP TIME DISPLAY FOR QUICK TROUBLESHOOTING OF GFCI DEVICES.

• DETECTS COMMON WIRING FAULTS TO ENSURE ELECTRICAL SAFETY.

BUY & SAVE

$24.97

4

Klein Tools ET310 AC Circuit Breaker Finder, Electric and Voltage Tester with Integrated GFCI Outlet Tester

• QUICKLY AND ACCURATELY IDENTIFY BREAKERS FOR EFFICIENT TROUBLESHOOTING.

• TWO-PART SYSTEM ENSURES EASY CONNECTION AND RELIABLE RESULTS.

• VISUAL AND AUDIBLE CUES SIMPLIFY BREAKER LOCATION PROCESS.

BUY & SAVE

$49.97

5

VDIAGTOOL V210 Wire Tracer Automotive Electrical Open & Short Finder Circuit Tester Wire Breaker Finder Fault Probe Cable Tracker Electrical DC 6-42V

• EASILY LOCATE CIRCUIT ISSUES WITH TONE CHANGES AND LED INDICATORS!

• FAST AND ACCURATE TROUBLESHOOTING WITH ADJUSTABLE SENSITIVITY PROBE!

• 1-YEAR WARRANTY & 24/7 SUPPORT FOR ULTIMATE CUSTOMER CONFIDENCE!

BUY & SAVE

$27.99

6

Klein Tools NCVT1P Voltage Tester, Non-Contact Low Voltage Tester Pen, 50V to 1000V AC, Audible and Flashing LED Alarms, Pocket Clip

• NON-CONTACT AC VOLTAGE DETECTION FOR SAFE, HASSLE-FREE TESTING.
• BRIGHT LED ALERTS WITH CLEAR INDICATIONS FOR VOLTAGE PRESENCE.
• DURABLE DESIGN WITH AUTO POWER-OFF FOR EXTENDED BATTERY LIFE.

BUY & SAVE

$19.97

7

Klein Tools NCVT3P Dual Range Non Contact Voltage Tester, 12 - 1000V AC Pen, Flashlight, Audible and Flashing LED Alarms, Pocket Clip

• NON-CONTACT DETECTION FOR LOW VOLTAGE IN DIVERSE SYSTEMS.
• DUAL VISUAL AND AUDIBLE ALERTS FOR PRECISE VOLTAGE IDENTIFICATION.
• COMPACT DESIGN WITH A FLASHLIGHT FOR ENHANCED WORKSITE VISIBILITY.

BUY & SAVE

$29.97

8

Klein Tools MM325 Multimeter, Digital Manual-Ranging 600V AC/DC Voltage Tester, Tests Batteries, Current, Resistance, Diodes, and Continuity

• VERSATILE TESTING: MEASURES VOLTAGE, CURRENT, RESISTANCE & BATTERY HEALTH.
• SAFETY FIRST: LED ALERTS ENSURE PROPER LEAD PLACEMENT FOR ACCURACY.
• DURABLE DESIGN: SURVIVES 6.6FT DROPS, IDEAL FOR VARIOUS ENVIRONMENTS.

BUY & SAVE

$29.98 $34.97

Save 14%

9

Klein Tools VDV526-200 Cable Tester, LAN Scout Jr. 2 Ethernet Cable Tester for CAT 5e, CAT 6/6A Cables with RJ45 Connections

• COMPREHENSIVE TESTING FOR DATA CABLES & PATCH CORDS
• EASY-TO-READ BACKLIT LCD FOR LOW-LIGHT ENVIRONMENTS
• USER-FRIENDLY INTERFACE FOR QUICK AND EFFICIENT TESTING

BUY & SAVE

$59.97

+

ONE MORE?

To use fudge.patch with pytest, you first need to install the fudge library through pip. Once installed, you can import fudge in your test file and use the @fudge.patch decorator to mock objects and functions within your test functions. This allows you to simulate behavior and control the output of dependencies in your tests.pytest will automatically detect and run tests with fudge patches applied, enabling you to test your code in isolation without relying on external dependencies.

What is the compatibility of fudge.patch with different versions of pytest?

Fudge.patch is compatible with pytest versions 3.6.0 and higher. It may also work with older versions of pytest, but the compatibility is not guaranteed. It is recommended to use the latest version of pytest for optimal compatibility with fudge.patch.

How to temporarily replace a function with fudge.patch in pytest?

To temporarily replace a function with fudge.patch in pytest, you can follow these steps:

1. Install the necessary packages: Make sure you have pytest and fudge installed in your project. You can install them using pip:

pip install pytest fudge

1. Import the necessary modules: In your test file, import the fudge and pytest modules:

import fudge import pytest

1. Use the fudge.patch method: Decorate the test function where you want to replace the function with fudge.patch. Use the fudge.Fake method to create a fake replacement function:

@fudge.patch('path.to.your.module.function_to_replace') def test_my_function(fake_function): fake_function.is_callable().returns('mocked result')

# Call the function to test with the fake replacement function

1. Use the fake replacement function in the test: Inside the test function, you can now call the replaced function, and it will return the mocked result specified in the fake replacement function:

result = function_to_replace() assert result == 'mocked result'

1. Cleanup after the test: You can also use fudge.verify_call_order() and fudge.clear_calls() to verify the calls to the replaced function and clear any previous calls before the next test:

fudge.verify_call_order() fudge.clear_calls()

By following these steps, you can temporarily replace a function with fudge.patch in your pytest tests.

What happens if a function is called multiple times with fudge.patch in pytest?

If a function is called multiple times with fudge.patch in pytest, each call will be temporarily patched with the specified values or behavior. This means that the function will behave as if it has been modified according to the patch for each call, allowing you to test different scenarios or conditions without permanently changing the function.

How to use fudge.patch in parameterized tests in pytest?

To use fudge.patch in parameterized tests in pytest, you can create a fixture that uses fudge.patch to mock the desired functionality. Here's an example of how you can achieve this:

import pytest from fudge import Fake

class MyClass: def my_method(self, arg): return arg + 1

@pytest.fixture def my_class_fake(request): with Fake() as fake: fake.has_attr(my_method=lambda self, arg: arg + 2) yield fake

@pytest.mark.parametrize("input, expected", [ (1, 3), (2, 4), ]) def test_my_method_with_fudge_patched_input(input, expected, my_class_fake): my_class = MyClass() with my_class_fake: result = my_class.my_method(input) assert result == expected

In this example, we have a MyClass class with a my_method method that we want to mock in our parameterized test. We create a my_class_fake fixture that uses fudge to create a fake object with the desired behavior. In the test function test_my_method_with_fudge_patched_input, we use the my_class_fake fixture to mock the my_method behavior and execute our parameterized test cases.

By using fudge.patch in parameterized tests in pytest, you can easily mock out dependencies and test different scenarios without having to create separate test functions for each scenario.

How to install fudge.patch with pytest?

To install a fudge.patch with pytest, you can follow these steps:

1. Install Fudge: First, you need to install the Fudge library. You can do this using pip by running the following command in your terminal:

pip install fudge

1. Create a test file: Create a test file where you will be using the fudge.patch decorator. For example, create a file named test_example.py.
2. Import Fudge and pytest: In your test file, import the Fudge library and the pytest module.

import fudge import pytest

1. Use the fudge.patch decorator: Use the fudge.patch decorator to mock out a function, method, or object that you want to replace in the test.

@fudge.patch('module_name.function_name') def test_example(mock_function): # Write your test code here pass

1. Write your test code: Write your test code inside the test function. Use the mock object passed to the test function to interact with the mocked function, method, or object.
2. Run the test: Run your test file with pytest to execute the test that uses the fudge.patch decorator.

pytest test_example.py

By following these steps, you can install a fudge.patch with pytest and write test cases that use mocking with Fudge.