Hypothesis Property-Based Testing FAQs

Question 1

Can I use this for complex custom data types?

Accepted Answer

Yes, this skill includes patterns for custom composite strategies, allowing you to generate valid data for complex dictionaries, dataclasses, and objects using the @composite decorator.

Question 2

How does this differ from standard example-based testing?

Accepted Answer

While standard tests use specific, hard-coded values (like testing a sum with 2 and 2), property-based testing checks universal truths (like a + b always equaling b + a) across a vast range of automatically generated values, including extreme edge cases.

Question 3

What is property-based testing?

Accepted Answer

Property-based testing is a methodology where you define general properties (invariants) that should always be true for any valid input. The testing tool then automatically generates hundreds of varied inputs to try and find a counter-example that breaks those properties.

Question 4

What happens when a test fails?

Accepted Answer

One of the best features of Hypothesis is 'shrinking.' When it finds a complex input that causes a failure, it automatically tries to find the simplest possible version of that input that still fails, making the bug much easier to debug.

Question 5

Does it support CI/CD integration?

Accepted Answer

Yes, the skill provides specific configurations for CI profiles, including how to handle test databases, show statistics, and use specific seeds to ensure failing tests can be reproduced in a pipeline.

Hypothesis Property-Based Testing

Hypothesis Property-Based Testing

소개

주요 기능

사용 사례

소개

주요 기능

사용 사례