pywayne-data-structure

Build, query, merge, and serialize ConditionTree, UnionFind, and XmlIO structures in Python.

8|Updated Feb 2, 2026

Search Tags:#python #algorithms #serialization #data-structures #condition-tree #union-find #xml-io

Ready to run

npx skills add https://github.com/wangyendt/wayne-skills --skill pywayne-data-structure

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: pywayne-data-structure
Source: https://github.com/wangyendt/wayne-skills/tree/main/pywayne/data-structure
Command: npx skills add https://github.com/wangyendt/wayne-skills --skill pywayne-data-structure

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Managing complex data structures and algorithms requires cohesive utilities for decision trees, disjoint-set operations, and XML I/O. This Skill provides a compact toolkit to build, union, and serialize these structures in Python projects.

Core Features & Use Cases

ConditionTree: handle hierarchical conditional logic with path-based inserts and lookups.
UnionFind: implement efficient disjoint-set operations with find/union and connectivity checks.
XmlIO: read and write XML representations and convert between XML and the toolkit data structures.
Use Case: build a decision workflow, track grouping of items, and persist configuration state to XML.

Quick Start

Instantiate ConditionTree, UnionFind, and XmlIO and perform a simple end-to-end example.

Frequently Asked Questions about pywayne-data-structure

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I implement disjoint-set operations in Python for tracking item groupings?▼

Disjoint-set operations in Python can be handled using a UnionFind structure to efficiently execute find and union commands. This approach enables connectivity checks and tracks groupings of items across algorithm design and data processing workflows.

What is the best way to manage hierarchical conditional logic for decision workflows in Python?▼

Hierarchical conditional logic is best managed using a ConditionTree structure that supports path-based inserts and lookups. This allows you to build complex decision workflows and query nested conditions without writing custom tree traversal logic.

How do I serialize Python data structures to XML and read them back?▼

Serializing Python data structures to XML is achievable through XmlIO methods that read and write XML representations. You can convert between XML and toolkit data structures to persist configuration state and manage data serialization tasks.

Can I use this data structure toolkit for configuration management without external dependencies?▼

This data structure toolkit operates without external dependencies to manage configuration state in Python projects. You can instantiate the core classes directly to handle configuration management tasks and persist state to XML.

Does UnionFind support connectivity checks for large algorithm design tasks?▼

UnionFind supports connectivity checks for algorithm design tasks by utilizing efficient disjoint-set operations. It handles find and union methods to manage dynamic connectivity, making it suitable for tracking item groupings at scale.