https://github.com/pragmatwice/light2d-hs

learn miloyip/light2d, and translate to haskell
https://github.com/pragmatwice/light2d-hs

haskell ray-tracing

Last synced: 3 days ago
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learn miloyip/light2d, and translate to haskell

• Host: GitHub
• URL: https://github.com/pragmatwice/light2d-hs
• Owner: PragmaTwice
• License: bsd-3-clause
• Created: 2019-01-27T04:47:49.000Z (about 6 years ago)
• Default Branch: master
• Last Pushed: 2019-02-10T09:04:34.000Z (almost 6 years ago)
• Last Synced: 2024-12-06T15:50:11.679Z (2 months ago)
• Topics: haskell, ray-tracing
• Language: Haskell
• Homepage:
• Size: 47.9 KB
• Stars: 3
• Watchers: 3
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • Changelog: ChangeLog.md
  • License: LICENSE

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README

        
# light2d-hs

[![Build Status](https://travis-ci.com/PragmaTwice/light2d-hs.svg?branch=master)](https://travis-ci.com/PragmaTwice/light2d-hs)

learn [miloyip/light2d](https://github.com/miloyip/light2d), and translate to haskell

## dependencies

- GHC

- Stack *(for package management)*

- [JuicyPixels](https://github.com/Twinside/Juicy.Pixels) *(for dumping PNG image file)*

- other packages in `package.yaml/dependencies`

## online demo

[TravisCI](https://travis-ci.com/) will automatically run all of these algorithms, render images, and generate a image website using [thumbsup](https://github.com/thumbsup/thumbsup), then upload the site to [Surge](https://surge.sh/).

So enjoy in **[light2d-hs.surge.sh](https://light2d-hs.surge.sh/)**.

## others

#### About random algorithm: 

~~NO. (Dynamic) random algorithms in Haskell lead to RealWorld operations (mostly when initializing the random seed via `/dev/urandom` on Unix-like systems or `RtlGenRandom` on Windows), and produce lots of IO Monad, which would damage these concise light2d algorithms.~~

In [BeerLambertColor part](https://github.com/PragmaTwice/light2d-hs/blob/master/src/Light2D/BeerLambertColor.hs#L10), a static random algorithm is used in jittered sampling.

#### About issue for usage, improvement or disagreement:

Welcome.

#### About runtime performance:

Bad, I know it runs very slowly. But I still cannot be skilled with Haskell, so further optimization is unreachable now. Therefore if there are some PRs about these improvement, I will be grateful.