Python supports creating properties "on the fly", like so.
class MyClass:
def __init__(self):
pass
x = MyClass
x.new = 5
print(x.new) # prints 5
But this is a tad ugly. I have to have some instruction within the class, either a function or a class property definition.
But the main hindrance is this...
x.first.second = 1 # this will raise
And it raises because first doesn't exist, obviously. I would have to do something like this instead.
x.first = MyClass()
x.first.second = 1
print(x.first.second)
I want to recursively create properties as they're needed. Is this possible?
The following example shows how to create a Circle class with a handy property to manage its radius: # circle.py class Circle: def __init__(self, radius): self. _radius = radius def _get_radius(self): print("Get radius") return self. _radius def _set_radius(self, value): print("Set radius") self.
Method invoked by the built-in len function. Method invoked for element selection: sequence[index] Method invoked to display an object as a string. Yes, this call is recursive There's the base case! Methods can be recursive too!
Class Properties In Python, a property in the class can be defined using the property() function. The property() method in Python provides an interface to instance attributes. It encapsulates instance attributes and provides a property, same as Java and C#.
self represents the instance of the class. By using the “self” we can access the attributes and methods of the class in python. It binds the attributes with the given arguments. The reason you need to use self. is because Python does not use the @ syntax to refer to instance attributes.
Use __getattr__
to create a new attribute namespace and return. __eq__
is implemented. The behavior is similar to types.SimpleNamespace
.
class Namespace:
def __init__(self):
pass
def __getattr__(self, item):
ret = Namespace()
setattr(self, item, ret)
return ret
def __eq__(self, other):
return isinstance(other, Namespace) and vars(self) == vars(other)
ns = Namespace()
ns.first.second = 1
print(ns.first.second) # 1
However, this has side effect
print(ns.unknown) # <__main__.Namespace object at 0x0000025FC1E5B400>
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