Detailed explanation of pytest framework

pytest is a popular Python testing framework that provides rich functions and flexible configuration options, making writing and running tests easier and more efficient. Its main features and usage are as follows: 1. Support in unittest Test cases written in the framework; 2. Can automatically discover test files and test cases; 3. Provides the function of parameterized testing; 4. Introduces the Fixture mechanism; 5. Provides a rich plug-in system; 6. Supports a variety of tests Use case type; 7. Ability to generate detailed test reports.

# Operating system for this tutorial: Windows 10 system, Dell G3 computer.

Pytest is a popular Python testing framework that provides rich features and flexible configuration options, making writing and running tests easier and more efficient.

Here are some main features and usage of the pytest framework:

1. Compatible with unittest: pytest supports test cases written in the unittest framework, which can be easily Migrate existing test cases to the pytest framework.

2. Automatically discover test files and test cases: pytest can automatically discover test files and test cases without the need to manually add them to the test suite, thus simplifying the writing of test code.

3. Parameterized testing: pytest provides the function of parameterized testing, which can pass in different parameters for the same test case, thereby simplifying the writing of test code.

4. Fixture mechanism: pytest introduces the Fixture mechanism, which allows test cases to share some preset test environments and data, greatly simplifying the writing of test code.

5. Rich plug-in system: pytest provides a rich plug-in system, which can easily extend the functions of the framework, such as adding test reports, coverage statistics, parallel execution, etc.

6. Support multiple test case types: pytest supports multiple test case types, including functions, classes, methods, etc.

7. Detailed test report: pytest can generate detailed test reports, including test case results, time, coverage and other information, making it easier for developers to analyze test results.

The following is a simple pytest test case example:

import pytestdef func(x):return x + 1def test_answer():assert func(3) == 4

In this example, we define a function named func and a test named test_answer Example. test_answer uses the assertion function assert provided by pytest to verify whether the return value of func(3) is equal to 4.

To execute this test case, just run the following command in the terminal:

pytest test_sample.py

Where, test_sample.py is the name of the Python file containing the test case.

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