Repair(0) vs Repair(1) & creating color values

Specific Domains Visualization
1

I want to get smooth(interpolated) color mapping for elements but it is not supported in GLMakie.jl. So i am converting cell body values(color) to vertices values. I am taking vertex value to be equal to average of surrounding cells body values.

But vertex color interpolation also don’t work for viz!() directly so i am converting 3D mesh to 2D as Júlio Hoffimann suggested by
m = mapreduce(boundary, merge, g) |> Repair(0)
but Repair(0) gives error for a single block coordinates.

using GLMakie, Meshes, CoordRefSystems

r = Float32[9.788173, 9.984624, 10.185018, 10.389433, 10.597952, 10.810656, 11.027628, 11.248955, 11.474725, 11.705025, 11.939948, 12.179585, 12.424032, 12.673386, 12.927744, 13.187207, 13.451878, 13.72186, 13.997261, 14.27819, 14.564756, 14.857075, 15.15526]
θ = Float32[0.0, 0.024543693, 0.049087387, 0.07363108, 0.09817477]
ϕ = Float32[3.1415927, 3.2397673, 3.3379421, 3.436117, 3.5342917, 3.6324666, 3.7306414, 3.828816, 3.9269907, 4.0251656, 4.12334, 4.221515, 4.3196898, 4.417865, 4.5160394, 4.6142144, 4.712389]

nrho = Float32[-2.1875288, -1.9132617, -1.9650526, -2.0041673, -2.0265086, -2.0333934, -2.0267808, -2.010718, -1.9896418, -1.9671822, -1.9468939, -1.9282669, -1.907779, -1.8958519, -1.8935388, -1.895887, -1.8991132, -1.8989675, -1.9080944, -1.9323422, -1.9622252, -1.9773525, -2.2786756, -1.9471912, -1.6671754, -1.7074353, -1.7387879, -1.7579032, -1.7664795, -1.7670528, -1.7608259, -1.7503868, -1.7381061, -1.7261676, -1.7139297, -1.7002429, -1.6939806, -1.6960249, -1.7022301, -1.708542, -1.7122238, -1.7227664, -1.7424823, -1.7634522, -1.7752926, -2.0784805, -2.0846937, -1.7923845, -1.8091806, -1.8243244, -1.8367826, -1.8485198, -1.8615154, -1.8737701, -1.8848072, -1.8938241, -1.9009949, -1.9059134, -1.9096607, -1.916501, -1.9268621, -1.9400648, -1.95345, -1.9664589, -1.9804994, -1.9924041, -2.0000522, -2.0089047, -2.3161285, -2.2176454, -1.9190373, -1.9236156, -1.9287382, -1.9361309, -1.9477187, -1.9641632, -1.9838592, -2.0054295, -2.0263186, -2.0460036, -2.0643997, -2.0807343, 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g = RectilinearGrid{𝔼,typeof(Spherical(0,0,0))}((r, θ, ϕ))
m = mapreduce(boundary, merge, g) |> Repair(0)
viz(m, color = nrho)

gives
ERROR: MethodError: Cannot convertan object of type Nothing to an object of type Int64 The functionconvert exists, but no method is defined for this combination of argument types.

while both

m = mapreduce(boundary, merge, g)
viz(m, color = 1:nvertices(m))

m = mapreduce(boundary, merge, g) |> Repair(1)
viz(m, color = 1:nvertices(m))

works fine but in both need more color values(11264 vertices).

I have color values for elements but Makie.jl don’t support color interpolation for elements. How to convert cell body(nelement) color values to nvertices color values? I think it would be better to have color values for Repair(1) meshes.

2

After updating to latest Julia version v1..11.6 above issue got resolved. Code works fine for all other mesh blocks but i got mistake in this mesh block.

using GLMakie, Meshes, CoordRefSystems

r = Float32[259.81546, 262.4098, 265.03003, 267.67642, 270.34924, 273.04877, 275.7752, 278.5289, 281.3101, 284.11905, 286.95605, 289.8214, 292.71533, 295.63818, 298.5902, 301.57172, 304.58298, 307.62433, 310.69604, 313.79843, 316.9318, 320.09644, 323.2927]
θ = Float32[0.0, 0.012271847, 0.024543693, 0.03681554, 0.049087387]
ϕ = Float32[3.9269907, 3.9760783, 4.0251656, 4.074253, 4.12334, 4.1724277, 4.221515, 4.2706027, 4.3196898, 4.3687773, 4.417865, 4.466952, 4.5160394, 4.565127, 4.6142144, 4.6633015, 4.712389]
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-2.5740638, -2.5772293, -2.5774415, -2.5726032, -2.5679553, -2.5686045, -2.5795643, -2.5990994, -2.6238108, -2.6491864, -2.6695666, -2.6854553, -2.6944003, -2.6934397, -2.6885004, -2.6809285, -2.6671572, -2.6524677, -2.6423094, -2.9394178]

g = RectilinearGrid{𝔼,typeof(Spherical(0,0,0))}((r, θ, ϕ))
m = mapreduce(boundary, merge, g) |> Repair(0)
viz(m, color = nrho)

ERROR: LoadError: ArgumentError: Provided 1955 colors but the mesh has 1954 vertices and 4728 elements.