python-hypothesis-patterns
CommunityLeverage property-based testing to improve code quality.
Software Engineering#test automation#python#edge cases#robustness#property-based testing#hypothesis#invariant
AuthorPremModhaOfficial
Version1.0.0
Installs0
System Documentation
What problem does it solve?
It enables testing functions against broad input spaces by asserting invariants, detecting edge cases, and reducing regressions through property-based tests.
Core Features & Use Cases
- Invariant Validation: Test functions for properties like round-trip, idempotence, and monotonicity using strategies such as st.text or custom data types.
- Guided Search & Failing Seeds: Find the worst-case inputs by targeting metrics or replay previous failures seamlessly.
- Use Case: Suppose you're validating a serializer; generate diverse inputs to confirm decode(encode(x)) == x, ensuring robustness across complex data.
Quick Start
Use the hypothesis patterns to generate edge test cases for your Python functions to improve reliability and coverage.
Dependency Matrix
Required Modules
hypothesis
Components
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: python-hypothesis-patterns Download link: https://github.com/PremModhaOfficial/sdk-pipeline/archive/main.zip#python-hypothesis-patterns Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
Agent Skills Search Helper
Install a tiny helper to your Agent, search and equip skill from 471,000+ vetted skills library on demand.