Mercurial > repos > public > sbplib_julia
comparison src/Grids/tensor_grid.jl @ 1437:e3a80ef08d09
Implement size(g,d) for EquidistantGrid and TensorGrid
author | Jonatan Werpers <jonatan@werpers.com> |
---|---|
date | Wed, 22 Nov 2023 17:34:35 +0100 |
parents | e82240df974d |
children | 66ad232e45a1 |
comparison
equal
deleted
inserted
replaced
1421:69c9e6eae686 | 1437:e3a80ef08d09 |
---|---|
44 | 44 |
45 Base.IteratorSize(::Type{<:TensorGrid{<:Any, D}}) where D = Base.HasShape{D}() | 45 Base.IteratorSize(::Type{<:TensorGrid{<:Any, D}}) where D = Base.HasShape{D}() |
46 Base.eltype(::Type{<:TensorGrid{T}}) where T = T | 46 Base.eltype(::Type{<:TensorGrid{T}}) where T = T |
47 Base.length(g::TensorGrid) = sum(length, g.grids) | 47 Base.length(g::TensorGrid) = sum(length, g.grids) |
48 Base.size(g::TensorGrid) = LazyTensors.concatenate_tuples(size.(g.grids)...) | 48 Base.size(g::TensorGrid) = LazyTensors.concatenate_tuples(size.(g.grids)...) |
49 Base.size(g::TensorGrid, d) = size(g)[d] | |
49 | 50 |
50 | 51 |
51 refine(g::TensorGrid, r::Int) = mapreduce(g->refine(g,r), TensorGrid, g.grids) | 52 refine(g::TensorGrid, r::Int) = mapreduce(g->refine(g,r), TensorGrid, g.grids) |
52 coarsen(g::TensorGrid, r::Int) = mapreduce(g->coarsen(g,r), TensorGrid, g.grids) | 53 coarsen(g::TensorGrid, r::Int) = mapreduce(g->coarsen(g,r), TensorGrid, g.grids) |
53 | 54 |