Python – Abstract Base Classes

An Abstract Base Class (ABC) in Python is a class that cannot be instantiated directly and is intended to be subclassed. ABCs serve as blueprints for other classes by providing a common interface that all subclasses must implement.

They are a fundamental part of which enables the developers to define and enforce a consistent API for a group of related classes.

Purpose of Abstract Base Classes

Here’s an in-depth look at the purpose and functionality of the Abstract Base Classes of Python −

Defining a Standard Interface

Abstract Base Class (ABC) allow us to define a blueprint for other classes. This blueprint ensures that any class deriving from the Abstract Base Class (ABC) implements certain methods by providing a consistent interface.

Following is the example code of defining the standard Interface of the Abstract Base Class in Python −

from abc import ABC, abstractmethod

class Shape(ABC):
   @abstractmethod
   def area(self):
      pass

   @abstractmethod
   def perimeter(self):
      pass

Enforcing Implementation

When a class inherits from an Abstract Base Class (ABC) it must implement all . If it doesn”t then Python will raise a TypeError. Here is the example of enforcing implementation of the Abstract Base Class in Python −

class Rectangle(Shape):
   def __init__(self, width, height):
      self.width = width
      self.height = height

   def area(self):
      return self.width * self.height

   def perimeter(self):
      return 2 * (self.width + self.height)

# This will work
rect = Rectangle(5, 10)

# This will raise TypeError
class IncompleteShape(Shape):
   pass

Providing a Template for Future Development

Abstract Base Class (ABC) is useful in large projects where multiple developers might work on different parts of the codebase. They provide a clear template for developers to follow which ensure consistency and reducing errors.

Facilitating Polymorphism

Abstract Base Class (ABC) make polymorphism possible by enabling the development of code that can operate with objects from diverse classes as long as they conform to a specific interface. This capability streamlines the extension and upkeep of code.

Below is the example of Facilitating Polymorphism in Abstract Base Class of Python −

def print_shape_info(shape: Shape):
   print(f"Area: {shape.area()}")
   print(f"Perimeter: {shape.perimeter()}")

square = Rectangle(4, 4)
print_shape_info(square)

Note: To execute the above mentioned example codes, it is necessary to define the standard interface and Enforcing Implementation.

Components of Abstract Base Classes

Abstract Base Classes (ABCs) in Python consist of several key components that enable them to define and enforce interfaces for subclasses.

These components include the ABC class, the abstractmethod decorator and several others that help in creating and managing abstract base classes. Here are the key components of Abstract Base Classes −

• ABC Class: This class from Python”s Abstract Base Classes (ABCs) module serves as the foundation for creating abstract base classes. Any class derived from ABC is considered an abstract base class.
• ”abstractmethod” Decorator: This decorator from the abc module is used to declare methods as abstract. These methods do not have implementations in the ABC and must be overridden in derived classes.
• ”ABCMeta” Metaclass: This is the metaclass used by ABC. It is responsible for keeping track of which methods are abstract and ensuring that instances of the abstract base class cannot be created if any abstract methods are not implemented.
• Concrete Methods in ABCs: Abstract base classes can also define concrete methods that provide a default implementation. These methods can be used or overridden by subclasses.
• Instantiation Restrictions: A key feature of ABCs is that they cannot be instantiated directly if they have any abstract methods. Attempting to instantiate an ABC with unimplemented abstract methods will raise a ”TypeError”.
• Subclass Verification: Abstract Base Classes (ABCs) can verify if a given class is a subclass using the issubclass function and can check instances with the isinstance function.

Example of Abstract Base Classes in Python

Following example shows how ABCs enforce method implementation, support and provide a clear and consistent interface for related classes −

from abc import ABC, abstractmethod

class Shape(ABC):
   @abstractmethod
   def area(self):
      pass

   @abstractmethod
   def perimeter(self):
      pass

   def description(self):
      return "I am a shape."

class Rectangle(Shape):
   def __init__(self, width, height):
      self.width = width
      self.height = height

   def area(self):
      return self.width * self.height

   def perimeter(self):
      return 2 * (self.width + self.height)

class Circle(Shape):
   def __init__(self, radius):
      self.radius = radius

   def area(self):
      import math
      return math.pi * self.radius ** 2

   def perimeter(self):
      import math
      return 2 * math.pi * self.radius

def print_shape_info(shape):
   print(shape.description())
   print(f"Area: {shape.area()}")
   print(f"Perimeter: {shape.perimeter()}")

shapes = [Rectangle(5, 10), Circle(7)]

for shape in shapes:
   print_shape_info(shape)
   print("-" * 20)

class IncompleteShape(Shape):
   pass

try:
   incomplete_shape = IncompleteShape()
except TypeError as e:
   print(e)  

Output

On executing the above code we will get the following output −

I am a shape.
Area: 50
Perimeter: 30
--------------------
I am a shape.
Area: 153.93804002589985
Perimeter: 43.982297150257104
--------------------
Can''t instantiate abstract class IncompleteShape with abstract methods area, perimeter