The Composite Pattern
Explore the Composite design pattern to create complex tree-like structures using Python. Learn how to implement composite and leaf nodes with a common interface to manage hierarchical data such as file systems, markup languages, and abstract syntax trees effectively.
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Overview
The Composite pattern allows complex tree structures to be built from simple components, often called nodes. A node with children will behave like a container; a node without children will behave like a single object. A composite object is—generally—a container object, where the content may be another composite object.
Traditionally, each node in a composite object must be either a leaf node (that cannot contain other objects) or a composite node. The key is that both composite and leaf nodes can have the same interface. The following UML diagram shows this elegant parallelism as a some_action() method:
This simple pattern, however, allows us to create complex arrangements of elements, all of which satisfy the interface of the component object. The following diagram depicts a concrete instance of such a complicated arrangement:
The Composite pattern applies to language processing. Both natural languages and artificial languages (like Python) tend to follow rules that are hierarchical and fit nicely with the Composite design pattern. Markup languages, like HTML, XML, RST, and Markdown, tend to reflect some common composite concepts like lists of lists, and headers with sub-headings.
A programming language involves recursive tree structures. The Python standard library includes the ast module, which provides the classes that define the structure of Python ...