Why this framework/library/software/resource is awesome?
Quick.py is a property-based testing library based on type annotations. The library shows an interesting approach how to use type annotation for writing random value generators and ensure in properties and behaviors of your code. It's fully compatible with unit-tests library and nose/pytest test runners.
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🔄 This issue represents a GitHub Pull Request. It cannot be merged through Gitea due to API limitations.
## 📋 Pull Request Information
**Original PR:** https://github.com/vinta/awesome-python/pull/631
**Author:** [@msoedov](https://github.com/msoedov)
**Created:** 4/29/2016
**Status:** ❌ Closed
**Base:** `master` ← **Head:** `quickcheck`
---
### 📝 Commits (1)
- [`8184a5b`](https://github.com/vinta/awesome-python/commit/8184a5bdc77063d4f7b31cb9868e92afd424f645) Add quick.py
### 📊 Changes
**1 file changed** (+1 additions, -0 deletions)
<details>
<summary>View changed files</summary>
📝 `README.md` (+1 -0)
</details>
### 📄 Description
## Why this framework/library/software/resource is awesome?
Quick.py is a property-based testing library based on type annotations. The library shows an interesting approach how to use type annotation for writing random value generators and ensure in properties and behaviors of your code. It's fully compatible with unit-tests library and nose/pytest test runners.
## Vote for this pull request
Who agrees that this change should be merged could add your reactions (e.g. :+1:) to this pull request.
---
<sub>🔄 This issue represents a GitHub Pull Request. It cannot be merged through Gitea due to API limitations.</sub>
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📋 Pull Request Information
Original PR: https://github.com/vinta/awesome-python/pull/631
Author: @msoedov
Created: 4/29/2016
Status: ❌ Closed
Base:
master← Head:quickcheck📝 Commits (1)
8184a5bAdd quick.py📊 Changes
1 file changed (+1 additions, -0 deletions)
View changed files
📝
README.md(+1 -0)📄 Description
Why this framework/library/software/resource is awesome?
Quick.py is a property-based testing library based on type annotations. The library shows an interesting approach how to use type annotation for writing random value generators and ensure in properties and behaviors of your code. It's fully compatible with unit-tests library and nose/pytest test runners.
Vote for this pull request
Who agrees that this change should be merged could add your reactions (e.g. 👍) to this pull request.
🔄 This issue represents a GitHub Pull Request. It cannot be merged through Gitea due to API limitations.