https://github.com/francescoalemanno/defaultarrays.jl

Julia array type supporting a default value, useful for storing very sparse information in a space efficient manner, the internal design uses "Dict" for storage, thanks to Tamas K. Papp @ https://github.com/tpapp
https://github.com/francescoalemanno/defaultarrays.jl

data-structures sparse-representations

Last synced: about 2 months ago
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Julia array type supporting a default value, useful for storing very sparse information in a space efficient manner, the internal design uses "Dict" for storage, thanks to Tamas K. Papp @ https://github.com/tpapp

• Host: GitHub
• URL: https://github.com/francescoalemanno/defaultarrays.jl
• Owner: francescoalemanno
• License: mit
• Created: 2020-02-29T14:12:29.000Z (almost 5 years ago)
• Default Branch: master
• Last Pushed: 2020-03-06T17:04:35.000Z (almost 5 years ago)
• Last Synced: 2024-11-11T08:39:48.086Z (about 2 months ago)
• Topics: data-structures, sparse-representations
• Language: Julia
• Homepage:
• Size: 37.1 KB
• Stars: 3
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# DefaultArrays

[![Build Status](https://travis-ci.org/francescoalemanno/DefaultArrays.jl.svg?branch=master)](https://travis-ci.org/francescoalemanno/DefaultArrays.jl)

[![codecov](https://codecov.io/gh/francescoalemanno/DefaultArrays.jl/branch/master/graph/badge.svg)](https://codecov.io/gh/francescoalemanno/DefaultArrays.jl)

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[![Docs](https://img.shields.io/badge/docs-latest-blue.svg)](https://pkg.julialang.org/docs/DefaultArrays)

Julia array type supporting a default value, useful for storing very sparse information in a space efficient manner, the internal design uses "Dict" for storage

### Installation:

Since this package is now registered do:

```julia

using Pkg; pkg"add DefaultArrays";

```

### Usage:

It can be used like any other common julia array:

```julia

M=DefaultArray(0.0,100,100) #0.0 is the default value

M.=rand([zeros(50);1],100,100)

for i in eachnondefault(M)

    M[i]=rand()

end

Q=sin.(M)

sum(Q)  #->  some random value

length(Q.elements) #-> MUCH less space occupied than 100*100 = 10000

```

original idea of Tamas K. Papp @ https://github.com/tpapp