Code Explanation:
1. Defining the Descriptor Class
class D:
A class named D is defined.
It becomes a data descriptor because it implements both __get__ and __set__.
2. Implementing __get__
def __get__(self, obj, owner):
return 1
Called whenever x is accessed.
Always returns 1, regardless of stored values.
3. Implementing __set__
def __set__(self, obj, val):
obj.__dict__["x"] = 99
Called whenever x is assigned a value.
Ignores the value being assigned (val) and always stores 99 in the instance dictionary.
4. Using the Descriptor in Class A
class A:
x = D()
x is now a managed attribute controlled by descriptor D.
5. Creating an Instance
a = A()
Creates object a.
Initially:
a.__dict__ = {}
6. Assigning to a.x
a.x = 5
Because x is a data descriptor, Python calls:
D.__set__(a, 5)
This stores:
a.__dict__["x"] = 99
So now:
a.__dict__ == {"x": 99}
7. Accessing a.x
print(a.x)
Resolution order:
Python checks for data descriptor on class A.
Finds D.
Calls:
D.__get__(a, A)
__get__ returns 1.
The instance value 99 is ignored.
8. Final Output
1
Final Answer
✔ Output:
1
.png)

0 Comments:
Post a Comment