Confusied about Descriptor Behaviour

I'm trying to understand descriptors and wrote a simple example that practically emulates the given one:

class Descriptor:
    
    
    def __set_name__(self,obj,name): 
        self.name=name
        
    def __set__(self,obj,valor): 
        
        if (self.name).title()=='Nombre':
            if type(valor)!=str:
                raise TypeError('No es un string')
            else:
                print(f'Estamos cambiando el atributo nombre de {obj} a {valor}')
                setattr(obj,self.name,valor) 
                
        else: print('Hola')
            
    def __get__(self,obj,owner):
        
        return getattr(obj,self.name)  
    
class Prueba:
    
    nombre=Descriptor()
    apellido=Descriptor()
    print(nombre.__dict__)
    print(apellido.__dict__)
    
    def __init__(self,nombre,apellido):
        self.nombre=nombre
        self.apellido=apellido
            
        
baz=Prueba('foo','bar')

print(baz.__dict__)

Which makes the Jupyter Kernel crash (had never happened before).

If I change every nombre or apellido, I get:

{}
{}
Hola
Hola
{}

So somehow the instances of the Descriptor class are empty. Yet when I make Descriptor print self.name in **set **it works. I'm very confused about how to use them to simplify properties.

The problem here is an infinite regress in the __get__ and __set__ methods of the descriptor. For the sake of example, let's focus just on the descriptor object for the nombre attribute, which has self.name == 'nombre'.

When you initialise an instance of Prueba:

1. In __init__, executing self.nombre = nombre invokes the descriptor's __set__ method (as expected)

2. That __set__ method invokes setattr(obj, 'nombre', valor) (because the descriptor's self.name is 'nombre')

3. The value of object's nombre attribute is the descriptor itself. So that setattr call invokes __set__ in the descriptor again.

So steps 2 and 3 repeat cyclically until the recursion depth is exceeded.

Similarly, a call to __get__ executes getattr(obj, 'nombre'). But obj.nombre which is the descriptor object itself, so the result is another call to the descriptor's __get__, and so on in an infinite cycle.

The docs show a way that you can programmatically store attribute values using a "private" name that avoids this regress.

So your example descriptor becomes:

class Descriptor:
    def __set_name__(self,obj,name): 
        self.name=name
        self.private_name = '_' + name
        
    def __set__(self,obj,valor): 
        if (self.name).title()=='Nombre':
            if type(valor)!=str:
                raise TypeError('No es un string')
            else:
                print(f'Estamos cambiando el atributo nombre de {obj} a {valor}')
                setattr(obj,self.private_name,valor) 
                
        else: print('Hola')
            
    def __get__(self,obj,owner):
        return getattr(obj,self.private_name)  

With this in place, your example of:

baz=Prueba('foo','bar')
print(baz.__dict__)

now gives:

{}
{}
Estamos cambiando el atributo nombre de <__main__.Prueba object at 0x7f04e0220ee0> a foo
Hola
{'_nombre': 'foo'}

and print(baz.nombre) prints foo.