只使用元类，如这里所示;

class DocTestMeta(type):
    """
    Test functions are generated in metaclass due to the way some
    test loaders work. For example, setupClass() won't get called
    unless there are other existing test methods, and will also
    prevent unit test loader logic being called before the test
    methods have been defined.
    """
    def __init__(self, name, bases, attrs):
        super(DocTestMeta, self).__init__(name, bases, attrs)

    def __new__(cls, name, bases, attrs):
        def func(self):
            """Inner test method goes here"""
            self.assertTrue(1)

        func.__name__ = 'test_sample'
        attrs[func.__name__] = func
        return super(DocTestMeta, cls).__new__(cls, name, bases, attrs)

class ExampleTestCase(TestCase):
    """Our example test case, with no methods defined"""
    __metaclass__ = DocTestMeta

输出:

test_sample (ExampleTestCase) ... OK

我使用元类和装饰器来生成测试。您可以检查我的实现python_wrap_cases。这个库不需要任何测试框架。

你的例子:

import unittest
from python_wrap_cases import wrap_case


@wrap_case
class TestSequence(unittest.TestCase):

    @wrap_case("foo", "a", "a")
    @wrap_case("bar", "a", "b")
    @wrap_case("lee", "b", "b")
    def testsample(self, name, a, b):
        print "test", name
        self.assertEqual(a, b)

控制台输出:

testsample_u'bar'_u'a'_u'b' (tests.example.test_stackoverflow.TestSequence) ... test bar
FAIL
testsample_u'foo'_u'a'_u'a' (tests.example.test_stackoverflow.TestSequence) ... test foo
ok
testsample_u'lee'_u'b'_u'b' (tests.example.test_stackoverflow.TestSequence) ... test lee
ok

你也可以使用发电机。例如，这段代码用参数a__list和b__list生成所有可能的测试组合

import unittest
from python_wrap_cases import wrap_case


@wrap_case
class TestSequence(unittest.TestCase):

    @wrap_case(a__list=["a", "b"], b__list=["a", "b"])
    def testsample(self, a, b):
        self.assertEqual(a, b)

控制台输出:

testsample_a(u'a')_b(u'a') (tests.example.test_stackoverflow.TestSequence) ... ok
testsample_a(u'a')_b(u'b') (tests.example.test_stackoverflow.TestSequence) ... FAIL
testsample_a(u'b')_b(u'a') (tests.example.test_stackoverflow.TestSequence) ... FAIL
testsample_a(u'b')_b(u'b') (tests.example.test_stackoverflow.TestSequence) ... ok

这可以使用元类优雅地解决:

import unittest

l = [["foo", "a", "a",], ["bar", "a", "b"], ["lee", "b", "b"]]

class TestSequenceMeta(type):
    def __new__(mcs, name, bases, dict):

        def gen_test(a, b):
            def test(self):
                self.assertEqual(a, b)
            return test

        for tname, a, b in l:
            test_name = "test_%s" % tname
            dict[test_name] = gen_test(a,b)
        return type.__new__(mcs, name, bases, dict)

class TestSequence(unittest.TestCase):
    __metaclass__ = TestSequenceMeta

if __name__ == '__main__':
    unittest.main()

import unittest

def generator(test_class, a, b,c,d,name):
    def test(self):
        print('Testexecution=',name)
        print('a=',a)
        print('b=',b)
        print('c=',c)
        print('d=',d)

    return test

def add_test_methods(test_class):
    test_list = [[3,3,5,6, 'one'], [5,5,8,9, 'two'], [0,0,5,6, 'three'],[0,0,2,3,'Four']]
    for case in test_list:
        print('case=',case[0], case[1],case[2],case[3],case[4])
        test = generator(test_class, case[0], case[1],case[2],case[3],case[4])
        setattr(test_class, "test_%s" % case[4], test)


class TestAuto(unittest.TestCase):
    def setUp(self):
        print ('Setup')
        pass

    def tearDown(self):
        print ('TearDown')
        pass

add_test_methods(TestAuto)

if __name__ == '__main__':
    unittest.main(verbosity=1)

元编程很有趣，但它也会碍事。这里的大多数解决方案都很难:

有选择地启动测试 指向给出测试名称的代码

所以，我的第一个建议是遵循简单/显式路径(适用于任何测试运行程序):

import unittest

class TestSequence(unittest.TestCase):

    def _test_complex_property(self, a, b):
        self.assertEqual(a,b)

    def test_foo(self):
        self._test_complex_property("a", "a")
    def test_bar(self):
        self._test_complex_property("a", "b")
    def test_lee(self):
        self._test_complex_property("b", "b")

if __name__ == '__main__':
    unittest.main()

既然我们不应该重复，我的第二个建议建立在Javier的回答之上:接受基于属性的测试。假设库:

“在生成测试用例方面比我们人类更加无情地迂回” 会提供简单的计数例子吗 与任何测试运行程序一起工作 具有更多有趣的特性(统计数据、额外的测试输出……) 类TestSequence (unittest.TestCase): st.text @given (st.text () () Def test_complex_property(self, a, b): self.assertEqual (a, b)

为了测试您的特定示例，只需添加:

    @example("a", "a")
    @example("a", "b")
    @example("b", "b")

为了只运行一个特定的示例，您可以注释掉其他示例(提供的示例将首先运行)。你可能想要使用@given(st.nothing())。另一种选择是将整个区块替换为:

    @given(st.just("a"), st.just("b"))

好的，您没有不同的测试名称。但也许你只需要:

被测属性的描述性名称。 哪个输入会导致失败(伪造的例子)。

有趣的例子

这个解决方案适用于Python 2和Python 3的unittest和nose:

#!/usr/bin/env python
import unittest

def make_function(description, a, b):
    def ghost(self):
        self.assertEqual(a, b, description)
    print(description)
    ghost.__name__ = 'test_{0}'.format(description)
    return ghost


class TestsContainer(unittest.TestCase):
    pass

testsmap = {
    'foo': [1, 1],
    'bar': [1, 2],
    'baz': [5, 5]}

def generator():
    for name, params in testsmap.iteritems():
        test_func = make_function(name, params[0], params[1])
        setattr(TestsContainer, 'test_{0}'.format(name), test_func)

generator()

if __name__ == '__main__':
    unittest.main()