pytest：参数化测试与显式测试

Question

我是 pytest 的新手，我想澄清一些关于参数化测试的困惑。

使用单个参数化测试函数或仅 'input' 不同的多个显式测试更好（即更清晰、更 DRY、更易于维护）？

让我举个例子，希望能更好地解释我的观点：

假设我们编写了一个简单的函数，merge_sort，我们想使用各种输入来测试它，例如包括负数、重复数字、浮点数等。

正在编写多个显式测试：

def test_merge_sort():
    unsorted = [2, 1, 3]
    expected = [1, 2, 3]

    assert merge_sort(unsorted) == expected

def test_merge_sort_negative():
    unsorted = [-2, -1, -3]
    expected = [-3, -2, -1]

    assert merge_sort(unsorted) == expected

def test_merge_sort_including_zero():
    unsorted = [2, 0, 1]
    expected = [0, 1, 2]

    assert merge_sort(unsorted) == expected

def test_merge_sort_repeated_number():
    unsorted = [0, 1, 0]
    expected = [0, 0, 1]

    assert merge_sort(unsorted) == expected

def test_merge_sort_float():
    unsorted = [0.1, 0.3, 0.2]
    expected = [0.1, 0.2, 0.3]

    assert merge_sort(unsorted) == expected

或者，编写单个参数化测试：

@pytest.mark.parametrize("unsorted,expected", [
    ([2,1,3], [1,2,3]),
    ([-2,-1,-3], [-3,-2,-1]),
    ([2,0,1], [0,1,2]),
    ([0,1,0], [0,0,1]),
    ([0.1,0.3,0.2], [0.1,0.2,0.3]),
])
def test_merge_sort(unsorted, expected):
    assert merge_sort(unsorted) == expected

我最初的想法是，多个显式测试更清晰，更易于维护，如果有失败，你会得到一个描述性的函数名称，表明被测的具体情况。但是，参数化测试更 DRY，提取测试数据作为其他测试的夹具可能更容易（即使用相同的数据来测试 quick_sort 函数）。

也许我在 pytest 文档中遗漏了什么可以回答这个问题？

在此先感谢您的帮助！

Answer 1

失败消息将包含所有参数化值，因此您可以向参数添加描述文本：

@pytest.mark.parametrize("description,unsorted,expected", [
    ("positive", [2,1,3], [1,2,3]),
    ("negative", [-2,-1,-3], [-3,-2,-1]),
    ("including zero", [2,0,1], [0,1,2]),
    ("duplicate values", [0,1,0], [0,0,1]),
    ("floats", [0.1,0.3,0.2], [0.1,0.2,0.3]),
])
def test_merge_sort(description, unsorted, expected):
    assert merge_sort(unsorted) == expected

pytest：参数化测试与显式测试

pytest: paramaterized tests vs explicit tests

python

unit-testing

pytest