Is it possible to make abstract classes in Python?
Python offers a way to wrap abstract classes using the abc
module and the @abstractmethod
. By subclassing ABC
, and decorating methods with @abstractmethod
, you ensure they're required to be implemented in the child classes.
You won't dare instantiate AbstractShape
until area
is well-defined!
Abstract class: An overview
In essence, abstract classes serve as frameworks for concrete classes, stipulating a method set that all derived classes must implement. Deriving from AbstractShape
is like making a pact to offer specific method implementations.
Using ABC
and ABCMeta
The ABC
platform arrived with Python 3.4+, making it easier to declare abstract classes:
For the under 3.4 gang, use ABCMeta
as your metaclass:
Method enforcement: The @abstractmethod
Abstract methods are designated using the @abstractmethod
decorator. A subclass transforms into a concrete class once it implements all abstract methods — your shield against chaotic design.
Abstract methods and properties
You're not limited to methods! Define abstract properties using @abstractmethod
and @property
decorators, guiding subclasses to follow certain property behaviors.
Protecting from rogue instantiation
Without a full implementation of all the abstract methods, instantiation of a class results in a TypeError, blocking unauthorized life breath to classes that serve only as specifications.
Throwing the NotImplementedError
Prior to abc
module, methods not meant for direct invocation would raise NotImplementedError
. However, the abc
module brings clearer structure to abstraction, without getting our hands dirty with raise statements.
Embracing the abstract world
When you extend an abstract class, your subclass better step up and implement all the abstract methods. Unfortunately, many new devs half-bake this step, leading to runtime errors when they shouldn't exist.
Tagging with other decorators
Let @abstractmethod
mingle! Use it in combination with @staticmethod
, @classmethod
, and @property
to make the class-level features concrete.
Understanding inheritance and instantiation
Inheritance is messy! Always handle __new__
overrides with care, especially when dealing with instantiation of child classes.
Instances with character
Concrete child classes derived from an abstract class can be instantiated. This enforces consistent behaviour of different object types unified under the abstract class interface.
Guarding against base class instantiation
One can take this a step further by using __init__
to check the type of self. If someone tries instantiating the abstract base class, raise an exception!
The skeleton provided by ABCs
Abstract Base Classes (ABCs) allow developers to lay out a required structure for any sub-class. This brings a semblance of order, enforcement of method signatures and expected behaviours, while freedom for implementation remains.
BusinessException: Real-world implications
Abstract classes help construct scalable architectures, providing a clear set of method definitions and enforced interfaces. This reduces bug count and increases code complexity with a lot more clarity.
Undisputable clear error messages
One major advantage of Python's approach to abstract classes is the early-stage, comprehensive error messages. This helps developers identify and address subclass issues immediately upon instantiation.
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