Is it possible to convert a regular vector to a ComponentArray with the specified structure?

[ForceBru]

The README shows that a ComponentArray can be indexed like a vector and converted to a vector as well:

ComponentArrays.jl/README.md

Lines 44 to 58 in f3a1b6d

	julia> x[8]
	400.0
	julia> collect(x)
	10-element Array{Float64,1}:
	5.0
	20.0
	0.0
	33.0
	0.0
	44.0
	3.0
	400.0
	1.0
	2.0

Is it possible to reverse this operation: convert a regular vector like [1, 2] to, say, a ComponentArray(a=1, b=2) with the given fields and their types? I want something like this to convert a vector to model parameters:

function loss(params_vec::AbstractVector)
    params = toComponentArray(params_vec, example=ComponentArray(a=1, b=2, c=[3, 4]))
    @. params.a + params.b + params.c
end

optimize(loss, [1, 2, 3, 4])

I know that one can pass the ComponentArray as the parameter because ComponentVector <: AbstractVector, but that won't work if the optimizer always calls loss with regular vectors for some reason.

Basically, I'd like to have a function like toComponentArray which receives the source vector and the expected structure of the ComponentArray and returns the ComponentArray that contains the data from the vector. Is this possible?

[ForceBru]

Looks like this is done by ComponentArrays.Axis:

ComponentArrays.jl/src/axis.jl

Lines 20 to 27 in f3a1b6d

	julia> using ComponentArrays
	julia> ax = Axis((a = 1, b = ViewAxis(2:7, PartitionedAxis(2, (a = 1, b = 2))), c = ViewAxis(8:10, (a = 1, b = 2:3))));
	julia> A = [100, 4, 1.3, 1, 1, 4.4, 0.4, 2, 1, 45];
	julia> ca = ComponentArray(A, ax)
	ComponentVector{Float64}(a = 100.0, b = [(a = 4.0, b = 1.3), (a = 1.0, b = 1.0), (a = 4.4, b = 0.4)], c = (a = 2.0, b = [1.0, 45.0]))

---

Yep, this seems to work and even has similar interface to what I envisioned:

julia> example = ComponentArray(a=1, b=5, c=[600,1000])
ComponentVector{Int64}(a = 1, b = 5, c = [600, 1000])

julia> ax, = getaxes(example)
(Axis(a = 1, b = 2, c = 3:4),)

julia> ComponentArray([2,3,9,8], ax)
ComponentVector{Int64}(a = 2, b = 3, c = [9, 8])

[ForceBru]

Thanks, me!

[NilsWildt]

Thank you ;)