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primarykey
Id
10509384
data
AcceptedAnswerId
0
AnswerCount
0
ClosedDate
CommentCount
0
CommunityOwnedDate
CreationDate
2012-05-09T03:14:58.550
FavoriteCount
0
LastActivityDate
2012-05-09T03:25:07.547
LastEditDate
2012-05-09T03:25:07.547
LastEditorUserId
936083
OwnerUserId
936083
ParentId
10509293
PostTypeId
2
Score
9
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0
LastEditorDisplayName
text
Body
Having the language force the super class to initialize before or after means that you lose functionality. A subclass may depend on a superclass's initialization to be run first, or vice versa. In addition, it wouldn't have any way of knowing what arguments to pass -- subclasses decide what values are passed to an initializer, which gives more flexibility over automatically passing all arguments. An alternative method of initializing the super-class is by using <a href="http://docs.python.org/library/functions.html#super">super</a>, though this will actually initialize the super-class of <code>self</code> dynamically, by looking it up in the object's <code>__mro__</code> (method resolution order) In python 2: <pre><code>super(self, Dog).__init__(self, name, "Dog") </code></pre> In python 3, you can further reduce the syntax, and avoid repeating yourself: <pre><code>super().__init__(self, name, "Dog") </code></pre> Edit: Since you're not actually using the <code>name</code> argument passed to dog, you can further reduce some syntax, by accepting arbitrary keyword and positional arguments in the <code>Dog</code> initializer, and passing them up the initialization chain: <pre><code>class Dog(Pet): def __init__(self, chases_cats, *args, **kwargs): Pet.__init__(self, *args, species="Dog", **kwargs) self.chases_cats = chases_cats class Pet(object): def __init__(self, name, species, *args, **kwargs): self.name = name self.species = species </code></pre> In your scenario, the initializer might be simple enough to not need this, but it's useful to know for when you have more arguments, and/or a deeper class hierarchy.
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