https://github.com/evizero/cachedarrays.jl

https://github.com/evizero/cachedarrays.jl

Last synced: 4 months ago
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• Host: GitHub
• URL: https://github.com/evizero/cachedarrays.jl
• Owner: Evizero
• License: other
• Created: 2018-03-20T14:01:00.000Z (over 7 years ago)
• Default Branch: master
• Last Pushed: 2018-03-23T12:18:09.000Z (over 7 years ago)
• Last Synced: 2025-02-23T06:13:33.027Z (5 months ago)
• Language: Julia
• Size: 5.86 KB
• Stars: 0
• Watchers: 3
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE.md

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README

        
# CachedArrays

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

[![codecov.io](http://codecov.io/github/Evizero/CachedArrays.jl/coverage.svg?branch=master)](http://codecov.io/github/Evizero/CachedArrays.jl?branch=master)

CachedArrays.jl provides a couple of array decorator types that

buffer intermediate result when `getindex` is invoked. This is

mainly useful in the combination with other lazy array decorators

such as

[MappedArrays.jl](https://github.com/JuliaArrays/MappedArrays.jl).

## Usage

```julia

julia> using CachedArrays, MappedArrays

julia> function foo(x)

           println("# expensive computation on ", x)

           x^2

       end

julia> A = mappedarray(foo, [1 2; 3 4]);

julia> B = cachedarray(A);

julia> size(B)

(2, 2)

julia> B[1,2]

# expensive computation on 2

4

julia> B[1,2]

4

julia> B[2,2]

# expensive computation on 4

16

julia> collect(B)

# expensive computation on 1

# expensive computation on 3

2×2 Array{Int64,2}:

 1   4

 9  16

```