On this python doc page it says:
Like its identity, an object’s type is also unchangeable.
And I try this script,
#!python3 class Foo: num = 1 pass class Bar: num = 2 pass f1,f2= Foo(), Foo() f2.__class__ = Bar print( type(f1), type(f2), f1.num, f2.num )
The result shows:
<class '__main__.Foo'> <class '__main__.Bar'> 1 2
I think I changed the type
of f2
.
What's wrong, What am I missing?
Changing the type ("casting") makes sense if you want to add functionality to an object created by some code you cannot change. Assume some statement obj = some_call_to_a_library() gives you an object of class A . You want it to have additional functionality, say, mymethod() .
The Cast. _to method, is used to cast your custom object, to the desired class. Use the flow control to handle various cases. In this example, if casting to a str class, it will use the json dumps to convert the object to a json string.
You can't edit the class directly like you might with javascript's prototype attribute, it's better if you subclass them.
Python avoids the loss of data in Implicit Type Conversion. Explicit Type Conversion is also called Type Casting, the data types of objects are converted using predefined functions by the user. In Type Casting, loss of data may occur as we enforce the object to a specific data type.
The footnotes one that page says:
[1] It is possible in some cases to change an object’s type, under certain controlled conditions. It generally isn’t a good idea though, since it can lead to some very strange behaviour if it is handled incorrectly.
If you try to change the __class__
of f2 to list
:
f2.__class__ = list
A TypeError raised:
TypeError: __class__ assignment: only for heap types
Changing the type ("casting") makes sense if you want to add functionality to an object created by some code you cannot change.
Assume some statement obj = some_call_to_a_library()
gives you an object of class A
. You want it to have additional functionality, say, mymethod()
. Then you could introduce a subclass MyA
like this (Python 3 style):
class MyA(A): @classmethod def cast(cls, some_a: A): """Cast an A into a MyA.""" assert isinstance(some_a, A) some_a.__class__ = cls # now mymethod() is available assert isinstance(some_a, MyA) return some_a def mymethod(self): ...
and then write obj = MyA.cast(some_call_to_a_library())
. If MyA
relies on additional attributes, cast
(which is a factory method) should create them.
I just did something like this when I needed a version of requests.Response
that could persist and retrieve responses to/from a file.
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