evaluate FRep at vector of inputs

[vpuri3]

Hello, I'd like to evaluate FReps at a vector of inputs as follows:

julia> using Descartes

julia> c = Circle(1.0)
Circle{Float64}(1.0)

julia> x = rand(2,10);

julia> FRep(c,x[1])
-0.8388503806040237

julia> f = FRep(c,x)
1.382979664762074

I would like the final output f to be a vector of size [1,10] with f[i] = FRep(c,x[i]). Could you help me get started with implementing this?

[vpuri3]

FYI - I'd like to use Descartes to model geometry for my differentiable meshing algorithms - https://github.com/vpuri3/DiffMesh.jl

[sjkelly]

It is strange that

julia> FRep(c,x[1])
-0.8388503806040237

does not error in your example.

Something like the following would give you a generator for the points, which can be nice for iterative methods.

julia> using Descartes

julia> c = Circle(1.0)
Circle{Float64}(1.0)

julia> x = rand(2,10);

julia> f(x) = FRep(c, x)
f (generic function with 1 method)

julia> collect(f(x[:,i]) for i in 1:size(x)[2])
10-element Vector{Float64}:
 -0.2540315834260186
 -0.06483389183029131
 -0.8770595028565922
 -0.4213730472330932
 -0.4748196284624575
 -0.40939828690307556
 -0.17437016828320873
 -0.25766200363764136
 -0.11564304875354436
 -0.19694540348031064

I'm sure there is a way to do this with broadcasting syntax as well.

[vpuri3]

addressed here: #53