The __metaclass__ attribute

The __metaclass__ attribute was introduced to give the programmer some control over the semantics of the class statement. In particular it eases the transition from old-style classes (which are not covered in this tutorial) and new-style classes (simply called classes in this tutorial).

Automatic subclassing of object

If at the told of a module you write:

__metaclass__ = type

then class statements of the form:

class MyClass:
    pass

will automatically be new-style. In other words, you don’t have to explicitly place object in the list of bases. (This behaviour is a consequence of the semantics of __metaclass__.)

Review of type(name, bases, body) and class statement

Recall that the type command, called like so

cls = type(name, bases, body)

constructs the class cls, as does the class statement

class cls(...):

    # body statements go here

The __metaclass__ attribute provides a link between these two ways of constructing classes.

The basic principle of the __metaclass__

Ordinarily, a class statement results in a call to type, with name, bases and body as arguments. However, this can be changed by

  1. Assigning __metaclass__ as an class body attribute.
  2. Assigning __metaclass__ as a module attribute.
  3. Placing a suitable class in the bases of the class statement.

Method (1) is used above, in Automatic subclassing of object. To explain (2) we will introduce a very silly example.

A very silly example

It’s not necessary for the __metaclass__ attribute to be type or a subclass of type. It could be any callable.

Here it is a function that returns a string.

>>> class very_silly(object):
...     def __metaclass__(*argv):
...         return 'This is very silly.'

The variable silly bound by the class statement is a string. In fact, it is the return value of the __metaclass__ attribute.

>>> very_silly
'This is very silly.'

A less silly example

Here’s a less silly example. We define the __metaclass__ to return the argument vector passed to it. This consists of name, bases and body.

>>> class silly(object):
...     def __metaclass__(*argv):
...         return argv

The variable silly is now bound to the value of argv. So it is a tuple of length 3, and it can be unpacked into name, bases and body.

>>> type(silly), len(silly)
(<type 'tuple'>, 3)
>>> name, bases, body = silly

The name, and bases are much as we expect them.

>>> name == 'silly', bases ==(object,)
(True, True)

The body has, as could be expected, a __metaclass__ key, which has the expected value.

>>> sorted(body.keys())
['__metaclass__', '__module__']
>>> silly[2]['__metaclass__']
<function __metaclass__ at 0x...>

A __metaclass__ gotcha

A class statement, if it does not raise an exception, assigns a value to a variable. Ordinarily, this value is a direct instance of type, namely

type(name, bases, body)

However, using __metaclass__ above allows the value assigned by a class statement to be any object whatsover. In the very silly example the value assigned by the class statement was a string. This is a violates the principle of least surprise, and that is the main reason why the example is very silly (and not that it does nothing useful).

With decorators, which are available on class statements since Python 2.6, the same effect as the silly example can be obtained without resort to complex magic.

A decorator example

Here we produce something similar to the silly example. First we define a decorator

>>> from jfine.classtools import dict_from_class
>>> def type_argv_from_class(cls):
...     d = cls.__dict__
...     name = cls.__name__
...     body = dict_from_class(cls)
...     bases = cls.__bases__
...     return name, bases, body

Now we use the decorator. There is no magic. The class statement produces a class, and the decorator function type_args_from_class() produces an argument vector from the class.

>>> @type_argv_from_class
... class argv(object):
...      key = 'a value'

When we unpack argv we get what we expect.

>>> name, bases, body = argv
>>> name
'argv'
>>> bases
(<type 'object'>,)
>>> body
{'key': 'a value'}