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guo-yong-zhi committed Mar 28, 2021
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2 changes: 1 addition & 1 deletion Project.toml
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name = "Stuffing"
uuid = "4175e07e-e5b7-423e-8796-3ea7f6d48281"
authors = ["guoyongzhi <momoshanghan@163.com>"]
version = "0.3.1"
version = "0.3.2"

[deps]
Random = "9a3f8284-a2c9-5f02-9a11-845980a1fd5c"
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2 changes: 1 addition & 1 deletion README.md
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# Stuffing
[![CI](https://github.com/guo-yong-zhi/Stuffing.jl/actions/workflows/ci.yml/badge.svg)](https://github.com/guo-yong-zhi/Stuffing.jl/actions/workflows/ci.yml)
[![CI](https://github.com/guo-yong-zhi/Stuffing.jl/actions/workflows/ci.yml/badge.svg)](https://github.com/guo-yong-zhi/Stuffing.jl/actions/workflows/ci.yml) [![CI-nightly](https://github.com/guo-yong-zhi/Stuffing.jl/actions/workflows/ci-nightly.yml/badge.svg)](https://github.com/guo-yong-zhi/Stuffing.jl/actions/workflows/ci-nightly.yml) [![codecov](https://codecov.io/gh/guo-yong-zhi/Stuffing.jl/branch/main/graph/badge.svg?token=43TOrL25V7)](https://codecov.io/gh/guo-yong-zhi/Stuffing.jl)
It's a packing algorithm.
The algorithm accepts **any shape of 2D raster masks** as inputs and is good at handling the packing problems of many gadgets. The implementation is based on Quadtree & gradient optimization. Also, it can be parallelized if you start `julia` with `julia --threads k`. This package is used by [WordCloud](https://github.com/guo-yong-zhi/WordCloud).
Examples: [collision detection](./examples/collision.jl), [packing](./examples/packing.jl)
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2 comments on commit f2efd2e

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@JuliaRegistrator register()

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Registration pull request created: JuliaRegistries/General/33021

After the above pull request is merged, it is recommended that a tag is created on this repository for the registered package version.

This will be done automatically if the Julia TagBot GitHub Action is installed, or can be done manually through the github interface, or via:

git tag -a v0.3.2 -m "<description of version>" f2efd2e1c26839bbab411223c97a3e7412dd1946
git push origin v0.3.2

Please # to comment.