Exploring Pytest Features in Randomized Test Functions

The code utilizes multiple features from the pytest library, including test marking, fixture, generator fixture, exception handling, environment variable simulation, and module import skipping.

Technology Stack : 代码所使用到的包和技术栈[英文]

Code Type : The type of code

Code Difficulty : Advanced

                
                    
import random
import pytest

def test_random_function():
    # Selecting a random package from pytest
    packages = [
        "pytest.mark",
        "pytest.fixture",
        "pytest.yield_fixture",
        "pytest.raises",
        "pytest.monkeypatch",
        "pytest.importorskip"
    ]
    selected_package = random.choice(packages)
    
    # Generate a function using the selected package
    if selected_package == "pytest.mark":
        def test_function(arg1, arg2):
            # Using pytest.mark to mark a test
            @pytest.mark.parametrize("arg1", [arg1])
            def test_me():
                assert arg1 == arg2
            return test_me
    elif selected_package == "pytest.fixture":
        def test_function(arg1, arg2):
            # Using pytest.fixture to create a reusable fixture
            @pytest.fixture
            def fixture_example():
                return arg1
            
            @pytest.mark.usefixtures("fixture_example")
            def test_me():
                assert fixture_example() == arg2
            return test_me
    elif selected_package == "pytest.yield_fixture":
        def test_function(arg1, arg2):
            # Using pytest.yield_fixture to create a generator-based fixture
            @pytest.fixture
            def fixture_example():
                yield arg1
            
            @pytest.mark.usefixtures("fixture_example")
            def test_me():
                assert fixture_example() == arg2
            return test_me
    elif selected_package == "pytest.raises":
        def test_function(arg1, arg2):
            # Using pytest.raises to test exception handling
            @pytest.raises(TypeError)
            def test_me():
                arg1 + arg2
            return test_me
    elif selected_package == "pytest.monkeypatch":
        def test_function(arg1, arg2):
            # Using pytest.monkeypatch to mock an environment variable
            @pytest.fixture
            def monkeypatch():
                return pytest.monkeypatch
            
            @pytest.mark.usefixtures("monkeypatch")
            def test_me():
                monkeypatch.setenv("TEST_VAR", arg1)
                assert arg1 == arg2
            return test_me
    elif selected_package == "pytest.importorskip":
        def test_function(arg1, arg2):
            # Using pytest.importorskip to skip tests if a module is not available
            from pytest import importorskip
            
            @pytest.mark.usefixtures("importorskip")
            def test_me():
                importorskip("some_module")
                assert arg1 == arg2
            return test_me
    
    # Return the generated function
    return test_function

# Example usage
if __name__ == "__main__":
    test_func = test_random_function(1, 2)
    test_func(1, 2)