Exercise: Inheritance

Questions for: Inheritance

How can you achieve method overriding in Python using the @staticmethod decorator?
A:
By directly using the @staticmethod decorator on the overridden method
B:
By using the @override decorator
C:
By using the @implements decorator
D:
Method overriding is not possible using @staticmethod
Answer: A
Method overriding in Python can be achieved by using the @staticmethod decorator on the method in the superclass and implementing it in the subclass.
What is the purpose of the __metaclass__ attribute in a Python class definition?
A:
To define class attributes
B:
To create a new instance of the class
C:
To specify a metaclass for the class
D:
To access superclass attributes directly
Answer: C
The __metaclass__ attribute is used to specify a metaclass for the class, allowing customization of class creation and behavior.
In Python, what is the purpose of the __class__ attribute in an instance of a class?
A:
To define class attributes
B:
To create a new instance of the class
C:
To access the class of an instance
D:
To access superclass attributes directly
Answer: C
The __class__ attribute is used to access the class of an instance in Python.
What is the purpose of the __subclasses__() method in Python classes?
A:
To define class attributes
B:
To create a new instance of the class
C:
To retrieve a list of all direct subclasses of a class
D:
To access superclass attributes directly
Answer: C
The __subclasses__() method is used to retrieve a list of all direct subclasses of a class.
How does Python handle multiple inheritance conflicts for method resolution?
A:
By automatically resolving conflicts using the first defined method
B:
By raising an error and requiring explicit resolution using super()
C:
By allowing the developer to choose the resolution order
D:
Multiple inheritance conflicts are not allowed in Python
Answer: C
Python uses the C3 linearization algorithm, allowing the developer to specify the method resolution order when conflicts arise in multiple inheritance.
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