nw-pbt-go

Apply property-based testing in Go with rapid and gopter generators.

Updated Mar 18, 2024
One-click install
npx skills add https://github.com/v1bh0r/precise-ledger-pro --skill nw-pbt-go-v1bh0r
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: nw-pbt-go
Source: https://github.com/v1bh0r/precise-ledger-pro/tree/main/nWave/skills/nw-pbt-go
Command: npx skills add https://github.com/v1bh0r/precise-ledger-pro --skill nw-pbt-go-v1bh0r

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Property-based testing in Go to validate invariants across randomized inputs, complementing example unit tests.

Core Features & Use Cases

  • Supports both rapid and gopter frameworks for property-based testing in Go.
  • Demonstrates unit and stateful testing patterns with generators and commands.
  • Guides integration into Go projects to improve test coverage and reliability.

Quick Start

Run a Go test that demonstrates property-based testing with rapid or gopter to verify invariants.

Frequently Asked Questions about nw-pbt-go

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

FAQPage Schema
How do I use property-based testing in Go to validate invariants across randomized inputs?

Property-based testing in Go validates invariants by generating randomized inputs and asserting expected behaviors hold true. You can use the rapid and gopter libraries to define per-test generators and compose properties with clear assertions.

What is the difference between unit and stateful property-based testing in Go?

Unit property-based testing in Go validates pure functions using generated inputs, while stateful testing uses generated commands to validate state transitions. Both patterns are supported by rapid and gopter to improve test coverage and reliability.

How do I define custom input generators for Go data structures using rapid or gopter?

You define custom input generators for Go data structures by using rapid or gopter to specify how to generate values for your types. These generators are then composed with properties to run randomized tests that verify invariants.

Does property-based testing work with standard Go testing and typical data structures?

Yes, property-based testing integrates into standard Go projects to complement example unit tests. It works with typical Go data structures by defining generators that produce randomized inputs for validating invariants across unit and stateful scenarios.

Should I choose rapid or gopter for property-based testing in my Go project?

Both rapid and gopter are supported frameworks for property-based testing in Go. You can integrate either library into your project to define generators and compose properties, choosing based on your preferred API style for unit and stateful testing.

When should I use property-based testing instead of standard example unit tests in Go?

You should use property-based testing in Go when you need to validate invariants across a wide range of randomized inputs, complementing standard example unit tests. It improves coverage and reliability by generating edge cases automatically.