我有一个类MyClass,它包含两个成员变量foo和bar:

class MyClass:
    def __init__(self, foo, bar):
        self.foo = foo
        self.bar = bar

我有这个类的两个实例,每个实例都有相同的foo和bar值:

x = MyClass('foo', 'bar')
y = MyClass('foo', 'bar')

然而,当我比较它们是否相等时,Python返回False:

>>> x == y
False

我如何使python认为这两个对象相等?


当前回答

类的实例与==比较是非相等的。最好的方法是将cmp函数赋给你的类,它会做这些事情。

如果你想通过内容进行比较你可以使用cmp(obj1,obj2)

在你的例子中,cmp(doc1,doc2)如果它们的内容相同,它将返回-1。

其他回答

在Python 3.7(及以上版本)中的数据类中,对象实例的相等性比较是一个内置特性。

Python 3.6提供了数据类的后端端口。

(Py37) nsc@nsc-vbox:~$ python
Python 3.7.5 (default, Nov  7 2019, 10:50:52) 
[GCC 8.3.0] on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> from dataclasses import dataclass
>>> @dataclass
... class MyClass():
...     foo: str
...     bar: str
... 
>>> x = MyClass(foo="foo", bar="bar")
>>> y = MyClass(foo="foo", bar="bar")
>>> x == y
True

我写了这个,并把它放在我的项目中的test/utils模块中。对于情况下,当它不是一个类,只是计划ol' dict,这将遍历两个对象,并确保

每个属性都与其对应的属性相等 不存在悬空属性(只存在于一个对象上的attrs)

它的大…这一点都不性感……但是,哦,boi,它工作!

def assertObjectsEqual(obj_a, obj_b):

    def _assert(a, b):
        if a == b:
            return
        raise AssertionError(f'{a} !== {b} inside assertObjectsEqual')

    def _check(a, b):
        if a is None or b is None:
            _assert(a, b)
        for k,v in a.items():
            if isinstance(v, dict):
                assertObjectsEqual(v, b[k])
            else:
                _assert(v, b[k])

    # Asserting both directions is more work
    # but it ensures no dangling values on
    # on either object
    _check(obj_a, obj_b)
    _check(obj_b, obj_a)

您可以通过删除_assert并使用普通的ol' assert来稍微清理它,但当它失败时,您得到的消息是非常没有帮助的。

我尝试了最初的示例(参见上面的7),它在ipython中不起作用。注意,cmp(obj1,obj2)在使用两个相同的对象实例实现时返回“1”。奇怪的是,当我修改其中一个属性值并重新比较时,使用cmp(obj1,obj2)对象继续返回“1”。(叹息…)

好的,所以你需要做的是迭代两个对象,并使用==号比较每个属性。

总结如下:

It's advised to implement __eq__ rather than __cmp__, except if you run python <= 2.0 (__eq__ has been added in 2.1) Don't forget to also implement __ne__ (should be something like return not self.__eq__(other) or return not self == other except very special case) Don`t forget that the operator must be implemented in each custom class you want to compare (see example below). If you want to compare with object that can be None, you must implement it. The interpreter cannot guess it ... (see example below) class B(object): def __init__(self): self.name = "toto" def __eq__(self, other): if other is None: return False return self.name == other.name class A(object): def __init__(self): self.toto = "titi" self.b_inst = B() def __eq__(self, other): if other is None: return False return (self.toto, self.b_inst) == (other.toto, other.b_inst)

下面通过在两个对象层次结构之间进行深度比较来工作(在我有限的测试中)。In处理各种情况,包括对象本身或其属性是字典的情况。

def deep_comp(o1:Any, o2:Any)->bool:
    # NOTE: dict don't have __dict__
    o1d = getattr(o1, '__dict__', None)
    o2d = getattr(o2, '__dict__', None)

    # if both are objects
    if o1d is not None and o2d is not None:
        # we will compare their dictionaries
        o1, o2 = o1.__dict__, o2.__dict__

    if o1 is not None and o2 is not None:
        # if both are dictionaries, we will compare each key
        if isinstance(o1, dict) and isinstance(o2, dict):
            for k in set().union(o1.keys() ,o2.keys()):
                if k in o1 and k in o2:
                    if not deep_comp(o1[k], o2[k]):
                        return False
                else:
                    return False # some key missing
            return True
    # mismatched object types or both are scalers, or one or both None
    return o1 == o2

这是一个非常棘手的代码,所以请在注释中添加任何可能不适合你的情况。