Mercurial > repos > public > sbplib_julia
comparison src/Grids/tensor_grid.jl @ 1448:0322c181a1cd feature/grids/curvilinear
Merge default
author | Jonatan Werpers <jonatan@werpers.com> |
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date | Wed, 22 Nov 2023 17:53:31 +0100 |
parents | 433245fd33c0 c0c5e0620b83 |
children | d9d9ab18cdfc |
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1436:433245fd33c0 | 1448:0322c181a1cd |
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45 _iterate_combine_coords((next,state)) = combine_coordinates(next...), state | 45 _iterate_combine_coords((next,state)) = combine_coordinates(next...), state |
46 | 46 |
47 Base.IteratorSize(::Type{<:TensorGrid{<:Any, D}}) where D = Base.HasShape{D}() | 47 Base.IteratorSize(::Type{<:TensorGrid{<:Any, D}}) where D = Base.HasShape{D}() |
48 Base.length(g::TensorGrid) = prod(length, g.grids) | 48 Base.length(g::TensorGrid) = prod(length, g.grids) |
49 Base.size(g::TensorGrid) = LazyTensors.concatenate_tuples(size.(g.grids)...) | 49 Base.size(g::TensorGrid) = LazyTensors.concatenate_tuples(size.(g.grids)...) |
50 Base.size(g::TensorGrid, d) = size(g)[d] | |
50 | 51 |
51 | 52 |
52 refine(g::TensorGrid, r::Int) = mapreduce(g->refine(g,r), TensorGrid, g.grids) | 53 refine(g::TensorGrid, r::Int) = mapreduce(g->refine(g,r), TensorGrid, g.grids) |
53 coarsen(g::TensorGrid, r::Int) = mapreduce(g->coarsen(g,r), TensorGrid, g.grids) | 54 coarsen(g::TensorGrid, r::Int) = mapreduce(g->coarsen(g,r), TensorGrid, g.grids) |
54 | 55 |