Book Image

Metaprogramming with Python

By : Sulekha AloorRavi
Book Image

Metaprogramming with Python

By: Sulekha AloorRavi

Overview of this book

Effective and reusable code makes your application development process seamless and easily maintainable. With Python, you will have access to advanced metaprogramming features that you can use to build high-performing applications. The book starts by introducing you to the need and applications of metaprogramming, before navigating the fundamentals of object-oriented programming. Next, you will learn about simple decorators, work with metaclasses, and later focus on introspection and reflection. You’ll also delve into generics and typing before defining templates for algorithms. As you progress, you will understand your code using abstract syntax trees and explore method resolution order. This Python book also shows you how to create your own dynamic objects before structuring the objects through design patterns. Finally, you will learn simple code-generation techniques along with discovering best practices and eventually building your own applications. By the end of this learning journey, you’ll have acquired the skills and confidence you need to design and build reusable high-performing applications that can solve real-world problems.
Table of Contents (21 chapters)
1
Part 1: Fundamentals – Introduction to Object-Oriented Python and Metaprogramming
4
Part 2: Deep Dive – Building Blocks of Metaprogramming I
11
Part 3: Deep Dive – Building Blocks of Metaprogramming II

Debugging unintentional assignments using id

In this section, we will be discussing what happens when we make unintentional references or assignments to an object while defining an attribute, a method, or a function, and how to resolve such incorrect assignments using the built-in id function. When a reference is made unintentionally, the memory address of the object is shared between the actual object and the reference object. In this example, we will be making use of id to debug the Python objects created in the preceding section and identify duplicate assignments or references of an object that might have been created unintentionally while developing an application. Here is how it works:

  1. To begin with, let’s create a dictionary item, class_id_count, to capture the number of occurrences of the memory address of each class:
    class_id_count = {}
  2. In the next step, we will be creating the following four lists:
    duplicates = []
    ids = []
    classes = []
    classnames = []
...