Merge pull request #288 from abhro/main

Add doctests and update docs

NEWS.md

@@ -1,5 +1,5 @@
 # ComponentArrays.jl NEWS
-Notes on new features (minor releases). For more details on bugfixes and non-feature-adding changes (patch releases), check out the [releases page](https://github.com/jonniedie/ComponentArrays.jl/releases).
+Notes on new features (minor releases). For more details on bugfixes and non-feature-adding changes (patch releases), check out the [releases page](https://github.com/SciML/ComponentArrays.jl/releases).
 
 ### v0.15.0
 - Unpack array components as `StaticArray`s!
@@ -27,7 +27,7 @@ ComponentVector{Float64,SubArray...}(e = 2.0, f = [6.0, 30.0])
 
 ### v0.12.0
 - Multiple symbol indexing!
-  - Use either an `Array` or `Tuple` of `Symbol`s to extract multiple named components into a new `ComponentArray
+  - Use either an `Array` or `Tuple` of `Symbol`s to extract multiple named components into a new `ComponentArray`
   - It's fast!
 ```julia
 julia> ca = ComponentArray(a=5, b=[4, 1], c=(a=2, b=[6, 30.0]))
@@ -118,7 +118,7 @@ julia> @btime sum(x.a + x.b for x in $ca.c.a);
 - Easier DifferentialEquations plotting!
     - Automatic legend labeling!
     - `Symbol` and `String` support for the `vars` plot keyword!
-    - See it in an action [here](https://github.com/jonniedie/ComponentArrays.jl/blob/master/docs/src/examples/adaptive_control.md)!
+    - See it in an action [here](https://github.com/SciML/ComponentArrays.jl/blob/main/docs/src/examples/adaptive_control.md)!
 
 ### v0.5.0
 - Constructor for making new `ComponentVector`s with additional fields! Watch out, it's slow!
@@ -131,7 +131,7 @@ ComponentVector{Int64}(a = 5, b = [1, 2], c = [0 0; 0 0], d = (a = 2, b = 10))
 ```
 
 ### v0.4.0
-- Zygote rules for DiffEqFlux support! Check out [the docs](https://jonniedie.github.io/ComponentArrays.jl/dev/examples/DiffEqFlux/) for an example!
+- Zygote rules for DiffEqFlux support! Check out [the docs](https://sciml.github.io/ComponentArrays.jl/dev/examples/DiffEqFlux/) for an example!
 
 ### v0.3.0
 - Matrix and higher-dimensional array components!

README.md

@@ -1,8 +1,8 @@
 # ComponentArrays.jl
 ![](assets/logo.png)
 
-| **Documentation**                                                               | **Build Status**                                                                                |
-|:-------------------------------------------------------------------------------:|:-----------------------------------------------------------------------------------------------:|
+| **Documentation**                                                         | **Build Status**                                            |
+|:-------------------------------------------------------------------------:|:-----------------------------------------------------------:|
 | [![][docs-stable-img]][docs-stable-url] [![][docs-dev-img]][docs-dev-url] | [![][build-img]][build-url] [![][codecov-img]][codecov-url] |
 
 
@@ -12,11 +12,11 @@
 [docs-stable-img]: https://img.shields.io/badge/docs-stable-blue.svg
 [docs-stable-url]: https://sciml.github.io/ComponentArrays.jl/stable
 
-[build-img]: https://img.shields.io/github/actions/workflow/status/jonniedie/ComponentArrays.jl/ci.yml
-[build-url]: https://github.com/jonniedie/docs/ComponentArrays.jl/workflows/ci.yml
+[build-img]: https://img.shields.io/github/actions/workflow/status/SciML/ComponentArrays.jl/ci.yml
+[build-url]: https://github.com/SciML/ComponentArrays.jl/actions/workflows/ci.yml
 
-[codecov-img]: https://img.shields.io/codecov/c/github/jonniedie/ComponentArrays.jl
-[codecov-url]: https://codecov.io/gh/jonniedie/ComponentArrays.jl
+[codecov-img]: https://img.shields.io/codecov/c/github/SciML/ComponentArrays.jl
+[codecov-url]: https://codecov.io/gh/SciML/ComponentArrays.jl
 
 The main export of this package is the ````ComponentArray```` type. "Components" of ````ComponentArray````s
 are really just array blocks that can be accessed through a named index. This will create a new ```ComponentArray``` whose data is a view into the original,
@@ -27,7 +27,7 @@ in [DifferentialEquations.jl](https://github.com/SciML/DifferentialEquations.jl)
 [Optim.jl](https://github.com/JuliaNLSolvers/Optim.jl), but anything that requires
 flat vectors is fair game.
 
-Check out the [NEWS](https://github.com/jonniedie/ComponentArrays.jl/blob/master/NEWS.md) for new features by minor release version.
+Check out the [NEWS](https://github.com/SciML/ComponentArrays.jl/blob/master/NEWS.md) for new features by minor release version.
 
 
 ## General use
@@ -45,7 +45,7 @@ julia> x[8]
 400.0
 
 julia> collect(x)
-10-element Array{Float64,1}:
+10-element Vector{Float64}:
    5.0
   20.0
    0.0