Python | Unit Test Objects Patching | Set-1 Last Updated : 12 Jun, 2019 Comments Improve Suggest changes Like Article Like Report The problem is writing unit tests and need to apply patches to selected objects in order to make assertions about how they were used in the test (e.g., assertions about being called with certain parameters, access to selected attributes, etc.). To do so, the unittest.mock.patch() function can be used to help with this problem. It’s a little unusual, but patch() can be used as a decorator, a context manager, or stand-alone. Code #1: Using unittest.mock.patch as a decorator Python3 1== from unittest.mock import patch import example @patch('example.func') def test1(x, mock_func): # Uses patched example.func example.func(x) mock_func.assert_called_with(x) Code #2: Using unittest.mock.patch as a decorator Python3 1== with patch('example.func') as mock_func: example.func(x) mock_func.assert_called_with(x) Code #3: Using unittest.mock.patch to patch things manually. Python3 1== p = patch('example.func') mock_func = p.start() example.func(x) mock_func.assert_called_with(x) p.stop() Code #4: Stacking decorators and context managers to patch multiple objects Python3 1== @patch('example.func1') @patch('example.func2') @patch('example.func3') def test1(mock1, mock2, mock3): ... def test2(): with patch('example.patch1') as mock1, \ patch('example.patch2') as mock2, \ patch('example.patch3') as mock3: ... patch() works by taking an existing object with the fully qualified name that you provide and replacing it with a new value. The original value is then restored after the completion of the decorated function or context manager. By default, values are replaced with MagicMock instances. Code #5 : Example Python3 1== x = 42 with patch('__main__.x'): print(x) print (x) Output : <MagicMock name='x' id='4314230032'> 42 Comment More infoAdvertise with us Next Article Python | Unit Test Objects Patching | Set-1 M manikachandna97 Follow Improve Article Tags : Python Python-ctype Practice Tags : python Similar Reads Python | Unit Test Objects Patching | Set-2 MagicMock instances that are normally used as replacement values are meant to mimic callables and instances. They record information about usage and allow to make assertions as shown in the code given below - Code #6: Python3 1== from unittest.mock import MagicMock m = MagicMock(return_value = 10) p 2 min read Object oriented testing in Python Prerequisite: Object-Oriented Testing Automated Object-Oriented Testing can be performed in Python using Pytest testing tool. In this article, we perform object-oriented testing by executing test cases for classes. We write a program that has one parent class called Product and three child classes - 5 min read Getting Started With Unit Testing in Python In Python, unit tests are the segments of codes that are written to test other modules and files that we refer to as a unit. Python Unit Testing is a very important part of the software development process that helps us to ensure that the code works properly without any errors. In this article, we w 8 min read Python | Exceptional Conditions Testing in Unit Tests This article aims to write a unit test that cleanly tests if an exception is raised. To test for exceptions, the assertRaises() method is used. Code #1 : Testing that a function raised a ValueError exception Python3 1== import unittest # A simple function to illustrate def parse_int(s): return int(s 2 min read Python | Testing Output to stdout Testing is a critical part of development as there is no compiler to analyze the code before Python executes it. Given a program that has a method whose output goes to standard Output (sys.stdout). This almost always means that it emits text to the screen. One likes to write a test for the code to p 2 min read Like