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Home/ Questions/Q 503601
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Editorial Team
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Editorial Team
Asked: May 13, 20262026-05-13T06:24:39+00:00 2026-05-13T06:24:39+00:00

A python descriptor that I’m working with is sharing its value across all instances

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A python descriptor that I’m working with is sharing its value across all instances of its owner class. How can I make each instance’s descriptor contain its own internal values?

class Desc(object):
    def __init__(self, initval=None,name='val'):
        self.val = initval
        self.name = name

    def __get__(self,obj,objtype):
        return self.val

    def __set__(self,obj,val):
        self.val = val

    def __delete__(self,obj):
        pass


class MyClass(object):
    desc = Desc(10,'varx')

if __name__ == "__main__":
    c = MyClass()
    c.desc = 'max'
    d = MyClass()
    d.desc = 'sally'

    print(c.desc)
    print(d.desc)

The output is this, the last call set the value for both objects:

localhost $ python descriptor_testing.py 
sally
sally
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1 Answer

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  1. Editorial Team
    Editorial Team
    2026-05-13T06:24:39+00:00Added an answer on May 13, 2026 at 6:24 am

    There is only one descriptor object, stored on the class object, so self is always the same. If you want to store data per-object and access it through the descriptor, you either have to store the data on each object (probably the better idea) or in some data-structure keyed by each object (an idea I don’t like as much).

    I would save data on the instance object:

    class Desc(object):
        default_value = 10
        def __init__(self, name):
            self.name = name
    
        def __get__(self,obj,objtype):
            return obj.__dict__.get(self.name, self.default_value)
            # alternatively the following; but won't work with shadowing:
            #return getattr(obj, self.name, self.default_value)
    
        def __set__(self,obj,val):
            obj.__dict__[self.name] = val
            # alternatively the following; but won't work with shadowing:
            #setattr(obj, self.name, val)
    
        def __delete__(self,obj):
            pass
    
    
    class MyClass(object):
        desc = Desc('varx')
    

    In this case, the data will be stored in the obj‘s ‘varx’ entry in its __dict__. Because of how data descriptor lookup works though, you can “shadow” the storage location with the descriptor:

    class MyClass(object):
        varx = Desc('varx')
    

    In this case, when you do the lookup:

    MyClass().varx
    

    The descriptor object gets called and can do its lookup, but when the lookup goes like this:

    MyClass().__dict__['varx']
    

    The value is returned directly. Thus the descriptor is able to store its data in a ‘hidden’ place, so to speak.

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