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937 lines (788 loc) · 33.3 KB
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using ComponentArrays
using BenchmarkTools
using ForwardDiff
using Tracker
using InvertedIndices
using LabelledArrays
using LinearAlgebra
using StaticArrays
using OffsetArrays
using Test
using Unitful
using Functors
# Convert abstract unit range to a ViewAxis with ShapeAxis.
r2v(r::AbstractUnitRange) = ViewAxis(r, ShapedAxis(size(r)))
## Test setup
c = (a = (a = 1, b = [1.0, 4.4]), b = [0.4, 2, 1, 45])
nt = (a = 100, b = [4, 1.3], c = c)
nt2 = (a = 5, b = [(a = (a = 20, b = 1), b = 0), (a = (a = 33, b = 1), b = 0)], c = (a = (a = 2, b = [1, 2]), b = [1.0 2.0; 5 6]))
ax = Axis(a = 1, b = r2v(2:3), c = ViewAxis(4:10, (a = ViewAxis(1:3, (a = 1, b = r2v(2:3))), b = r2v(4:7))))
ax_c = (a = ViewAxis(1:3, (a = 1, b = r2v(2:3))), b = r2v(4:7))
a = Float64[100, 4, 1.3, 1, 1, 4.4, 0.4, 2, 1, 45]
sq_mat = collect(reshape(1:9, 3, 3))
ca = ComponentArray(nt)
ca_Float32 = ComponentArray{Float32}(nt)
ca_MVector = ComponentArray{MVector{10, Float64}}(nt) # TODO: Deprecate these
ca_SVector = ComponentArray{SVector{10, Float64}}(nt)
ca_composed = ComponentArray(a = 1, b = ca)
ca2 = ComponentArray(nt2)
cmat = ComponentArray(a .* a', ax, ax)
cmat2 = ca2 .* ca2'
caa = ComponentArray(a = ca, b = sq_mat)
_a, _b, _c = Val.((:a, :b, :c))
ca3 = ComponentArray(a=1, b=[2, 3, 4, 5], c=reshape(6:11, 3, 2))
cmat3 = ca3 .* ca3'
cmat3check = (1:11) .* (1:11)'
## Tests
@testset "Allocations and Inference" begin
@test @ballocated($ca.c.a.a) == 0
@test @ballocated(@view $ca[:c]) == 0
@test @ballocated(@view $cmat[:c, :c]) == 0
f = (out, x) -> (out .= x .+ x)
out = deepcopy(ca)
@test @ballocated($f($out, $ca)) == 0
end
@testset "Utilities" begin
@test_deprecated ComponentArrays.getval.(fastindices(:a, :b, :c)) == (:a, :b, :c)
@test_deprecated fastindices(:a, Val(:b)) == (Val(:a), Val(:b))
@test collect(ComponentArrays.partition(collect(1:12), 3)) == [[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]]
@test size(collect(ComponentArrays.partition(zeros(2, 2, 2), 1, 2, 2))[2, 1, 1]) == (1, 2, 2)
end
@testset "Construction" begin
@test ca == ComponentArray(a = 100, b = [4, 1.3], c = (a = (a = 1, b = [1.0, 4.4]), b = [0.4, 2, 1, 45]))
@test ca_Float32 == ComponentArray(Float32.(a), ax)
@test eltype(ComponentArray{ForwardDiff.Dual}(nt)) == ForwardDiff.Dual
@test ca_composed.b isa ComponentArray
@test ca_composed.b == ca
@test getdata(ca_MVector) isa MArray
@test typeof(ComponentArray(undef, (ax,))) == typeof(ca)
@test typeof(ComponentArray(undef, (ax, ax))) == typeof(cmat)
@test typeof(ComponentArray{Float32}(undef, (ax,))) == typeof(ca_Float32)
@test typeof(ComponentArray{MVector{10,Float64}}(undef, (ax,))) == typeof(ca_MVector)
# Entry from Dict
dict1 = Dict(:a => rand(5), :b => rand(5, 5))
dict2 = Dict(:a => 3, :b => dict1)
@test ComponentArray(dict1) isa ComponentArray
@test ComponentArray(dict2).b isa ComponentArray
@test ca == ComponentVector(a = 100, b = [4, 1.3], c = (a = (a = 1, b = [1.0, 4.4]), b = [0.4, 2, 1, 45]))
@test cmat == ComponentMatrix(a .* a', ax, ax)
@test_throws DimensionMismatch ComponentVector(sq_mat, ax)
@test_throws DimensionMismatch ComponentMatrix(rand(11, 11, 11), ax, ax)
@test_throws ErrorException ComponentArray(v = [(a = 1, b = 2), (a = 3, c = 4)])
# Axis construction from symbols
@test Axis([:a, :b, :c]) == Axis(a = 1, b = 2, c = 3)
@test Axis((:a, :b, :c)) == Axis(a = 1, b = 2, c = 3)
@test Axis(:a, :b, :c) == Axis(a = 1, b = 2, c = 3)
@test_throws ErrorException Axis(:a, :a)
# Issue #24
@test ComponentVector(a = 1, b = 2.0f0) == ComponentVector{Float32}(a = 1.0, b = 2.0)
@test ComponentVector(a = 1, b = 2 + im) == ComponentVector{Complex{Int64}}(a = 1 + 0im, b = 2 + 1im)
# Issue #23
sz = size(ca)
temp = ComponentArray(ca; d = 100)
temp2 = ComponentVector(temp; d = 4)
temp3 = ComponentArray(temp2; e = (a = 20, b = [2 4; 1 4]))
@test sz == size(ca)
@test temp.d == 100
@test temp2.d == 4
@test !haskey(ca, :d)
@test all(temp3.e.b .== [2 4; 1 4])
# Issue #18
temp_miss = ComponentArray(a = missing, b = [2, 1, 4, 5], c = [1, 2, 3])
@test eltype(temp_miss) == Union{Int64,Missing}
@test temp_miss.a === missing
temp_noth = ComponentArray(a = nothing, b = [2, 1, 4, 5], c = [1, 2, 3])
@test eltype(temp_noth) == Union{Int64,Nothing}
@test temp_noth.a === nothing
# Issue #61
@test ComponentArray(x = 1) isa ComponentArray{Int}
# Issue #81
@test ComponentArray() isa ComponentArray
@test ComponentVector() isa ComponentVector
@test ComponentMatrix() isa ComponentMatrix
@test ComponentArray{Float32}() isa ComponentArray{Float32}
@test ComponentVector{Float32}() isa ComponentVector{Float32}
@test ComponentMatrix{Float32}() isa ComponentMatrix{Float32}
# Issue #116
# Part 2: Arrays of arrays
@test_throws Exception ComponentVector(a = [[3], [4, 5]], b = 1)
x = ComponentVector(a = [[3, 3], [4, 5]], b = 1)
@test x.a[1] == [3, 3]
@test x.b == 1
# empty components
for T in [Int64, Int32, Float64, Float32, ComplexF64, ComplexF32]
@test ComponentArray(a = T[]) == ComponentVector{T}(a = T[])
@test ComponentArray(a = T[], b = T[]) == ComponentVector{T}(a = T[], b = T[])
@test ComponentArray(a = T[], b = (;)) == ComponentVector{T}(a = T[], b = T[])
@test ComponentArray(a = Any[one(Int32)], b=T[]) == ComponentVector{T}(a = [one(T)], b = T[])
end
@test ComponentArray(NamedTuple()) == ComponentVector{Any}()
@test ComponentArray(a=[]).a == []
# Make sure type promotion works correctly with StaticArrays of NamedTuples
@test ComponentVector(a=SA[(a=2, b=true)], b=false) isa ComponentVector{Int}
end
@testset "Attributes" begin
@test length(ca) == length(a)
@test size(ca) == size(a)
@test size(cmat) == (length(a), length(a))
@test propertynames(ca) == (:a, :b, :c)
@test propertynames(ca.c) == (:a, :b)
@test parent(ca) == a
@test keys(ca) == (:a, :b, :c)
@test valkeys(ca) == Val.((:a, :b, :c))
@test ca != getdata(ca)
@test getdata(ca) != ca
@test hash(ca) != hash(getdata(ca))
@test hash(ca, zero(UInt)) != hash(getdata(ca), zero(UInt))
ab = ComponentArray(a = 1, b = 2)
xy = ComponentArray(x = 1, y = 2)
@test ab != xy
@test hash(ab) != hash(xy)
@test hash(ab, zero(UInt)) != hash(xy, zero(UInt))
@test ab == LVector(a = 1, b = 2)
# Issue #117
kw_fun(; a, b) = a // b
x = ComponentArray(b=1, a=2)
@test merge(NamedTuple(), x) == NamedTuple(x)
@test kw_fun(; x...) == 2
@test length(ViewAxis(2:7, ShapedAxis((2,3)))) == 6
end
@testset "Get" begin
@test getdata(ca) == a
@test getdata(cmat) == a .* a'
@test getaxes(ca) == (ax,)
@test getaxes(cmat) == (ax, ax)
@test ca[1] == a[1]
@test ca[1:5] == a[1:5]
@test cmat[:, :] == cmat
@test getaxes(cmat[:a, :]) == getaxes(ca)
@test ca.a == 100.0
@test ca.b == Float64[4, 1.3]
@test ca.c.a.a == 1.0
@test ca.c.a.b[1] == 1.0
@test ca.c == ComponentArray(c)
@test ca2.b[1].a.a == 20.0
@test ca[:a] == ca["a"] == ca.a == ca[[:a]][1]
@test ca[[:a]] isa ComponentVector # Issue 175
@test ca[Symbol[]] == Float64[] # Issue 174
@test length(ca[()]) == 0 # Issue #174
@test ca[:b] == ca["b"] == ca.b
@test ca[:c] == ca["c"] == ca.c
@test ca[(:a, :c)].c == ca[(:c, :a)].c == ca.c
@test ca[(:a, :c)].a isa Number
@test ca[[:a, :c]] == ca[(:a, :c)]
@test_throws AssertionError ca[(:a, :a)]
@test cmat[:a, :a] == cmat["a", "a"] == 10000.0
@test cmat[:a, :b] == cmat["a", "b"] == [400, 130]
@test all(cmat[:c, :c] .== ComponentArray(a[4:10] .* a[4:10]', Axis(ax_c), Axis(ax_c)))
@test cmat[:c, :][:a, :][:a, :] == ca
@test cmat[:a, :c] == cmat[:c, :a]
@test all(cmat2[:b, :b][1, 1] .== ca2.b[1] .* ca2.b[1]')
@test ca[_a] == ca[:a]
@test cmat[_c, _b] == cmat[:c, :b]
@test cmat[_c, :a] == cmat[:c, :a]
@test ca2.b[2].a.a == 33
@test collect(caa.b) == sq_mat
@test size(caa.b) == size(sq_mat)
@test caa.b[1:2, 3] == sq_mat[1:2, 3]
@test Base.maybeview(ca, :a) == ca.a
@test cmat[:c, :a] == getindex(cmat, :c, :a)
@test @view(cmat[:c, :a]) == view(cmat, :c, :a)
@test ca[CartesianIndex(1)] == ca[1]
@test cmat[CartesianIndex(1, 2)] == cmat[1, 2]
@test cmat[CartesianIndices(cmat)] == getdata(cmat)
@test getproperty(ca, Val(:a)) == ca.a
@test Base.to_indices(ca, (:a, :b)) == (:a, :b)
@test Base.to_indices(ca, (1, 2)) == (1, 2)
@test Base.to_index(ca, :a) == :a
#OffsetArray stuff
part_ax = PartitionedAxis(2, Axis(a = 1, b = 2))
oaca = ComponentArray(OffsetArray(collect(1:5), -1), Axis(a = 0, b = ViewAxis(1:4, part_ax)))
temp_ca = ComponentArray(collect(1:5), Axis(a = 1, b = ViewAxis(2:5, part_ax)))
@test oaca.a == temp_ca.a
@test oaca.b[1].a == temp_ca.b[1].a
@test oaca[0] == temp_ca[1]
@test oaca[4] == temp_ca[5]
@test axes(oaca) == axes(getdata(oaca))
# Issue #56
A = ComponentArray(rand(4, 10), Axis(a = 1:2, b = 3:4), FlatAxis())
A_vec = A[:, 1]
A_mat = A[:, 1:2]
@test A_vec isa ComponentVector
@test A_mat isa ComponentMatrix
@test getdata(A_vec) isa Vector
@test getdata(A_mat) isa Matrix
# Issue #70
let
ca = ComponentVector(a = 1, b = 2, c = 3)
@test_throws BoundsError ca[:a, :b]
end
# Issue # 87: Conversion/promotion
let
ax1 = Axis((; x1 = 1))
ax2 = Axis((; x2 = 1))
A1 = ComponentMatrix(zeros(1, 1), ax1, ax1)
A2 = ComponentMatrix(zeros(1, 1), ax2, ax2)
A = [A for A in [A1, A2]]
@test A[1] == A1
@test A[2] == A2
end
# Issue # 94: No getindex pirates
@test_throws BoundsError a[]
# Issue #112: InvertedIndices
@test ca[Not(3)] == getdata(ca)[Not(3)]
@test ca[Not(2:3)] == getdata(ca)[Not(2:3)]
# Issue #123
# We had to revert this because there is no way to work around
# OffsetArrays' type piracy without introducing type piracy
# ourselves because `() isa Tuple{N, <:CombinedAxis} where {N}`
# @test reshape(a, axes(ca)...) isa Vector{Float64}
# Issue #248: Indexing ComponentMatrix with FlatAxis components
@test cmat3[:a, :a] == cmat3check[1, 1]
@test cmat3[:a, :b] == cmat3check[1, 2:5]
@test cmat3[:a, :c] == reshape(cmat3check[1, 6:11], 3, 2)
@test cmat3[:b, :a] == cmat3check[2:5, 1]
@test cmat3[:b, :b] == cmat3check[2:5, 2:5]
@test cmat3[:b, :c] == reshape(cmat3check[2:5, 6:11], 4, 3, 2)
@test cmat3[:c, :a] == reshape(cmat3check[6:11, 1], 3, 2)
@test cmat3[:c, :b] == reshape(cmat3check[6:11, 2:5], 3, 2, 4)
@test cmat3[:c, :c] == reshape(cmat3check[6:11, 6:11], 3, 2, 3, 2)
@test_broken reshape(a, axes(ca)...) isa Vector{Float64}
# Issue #265: Multi-symbol indexing with matrix components
@test ca2.c[[:a, :b]].b isa AbstractMatrix
end
@testset "Set" begin
temp = deepcopy(ca2)
tempmat = deepcopy(cmat2)
temp.c.a .= 1000
view(view(tempmat, :b, :b)[1, 1], :a, :a)[:a, :a] = 100000
@view(tempmat[:b, :a])[2].b = 1000
@test temp.c.a.a == 1000
@test tempmat["b", "b"][1, 1]["a", :a][:a, :a] == 100000
@test tempmat[:b, :a][2].b == 1000
temp_b = deepcopy(temp.b)
temp.b .= temp.b .* 100
@test temp.b[1] == temp_b[1] .* 100
temp2 = deepcopy(ca)
temp3 = deepcopy(ca_MVector)
@test (temp2 .= ca .* 1) isa ComponentArray
@test (temp2 .= temp2 .* a .+ 1) isa typeof(temp2)
@test (temp2 .= ca .* ca_SVector) isa typeof(temp2)
@test (temp3 .= ca .* ca_SVector) isa typeof(temp3)
temp2.b = ca.b .+ 1
@test temp2.b == ca.b .+ 1
setproperty!(temp2, :a, 20)
@test temp2.a == 20
setproperty!(temp2, Val(:b), zeros(2))
@test temp2.b == zeros(2)
tempmat .= 0
@test tempmat[:b, :a][2].b == 0
temp = deepcopy(cmat)
@test all((temp[:c, :c][:a, :a] .= 0) .== 0)
A = ComponentArray(zeros(Int, 4, 4), Axis(x = r2v(1:4)), Axis(x = r2v(1:4)))
A[1, :] .= 1
@test A[1, :] == ComponentVector(x = ones(Int, 4))
end
@testset "Properties" begin
@test hasproperty(ca2, :a) # ComponentArray
@test hasproperty(ca2.b, :a) # LazyArray
@test propertynames(ca2) == (:a, :b, :c) # ComponentArray
@test propertynames(ca2.b) == (:a, :b) # LazyArray
@test haskey(ca2, :a) # ComponentArray
@test haskey(ca2.b, 1) # LazyArray
@test keys(ca2) == (:a, :b, :c)
@test keys(ca2.b) == Base.OneTo(2)
end
@testset "Component Index" begin
let
ca = ComponentArray(a = 1, b = 2, c = [3, 4], d = (a = [5, 6, 7], b = 8))
cmat = ca * ca'
cidx = reshape((1:(2*3)) .+ 2, 2, 3)
ca2 = ComponentArray(a = 1, b = 2, c = cidx, d = (a = [9, 10, 11], b = 12))
@testset "ComponentIndex" begin
ax = getaxes(ca)[1]
@test ax[:a] == ax[1] == ComponentArrays.ComponentIndex(1, ComponentArrays.NullAxis())
@test ax[:c] == ax[3:4] == ComponentArrays.ComponentIndex(3:4, ShapedAxis(size(3:4)))
@test ax[:d] == ComponentArrays.ComponentIndex(5:8, Axis(a = r2v(1:3), b = 4))
@test ax[(:a, :c)] == ax[[:a, :c]] == ComponentArrays.ComponentIndex([1, 3, 4], Axis(a = 1, c = r2v(2:3)))
ax2 = getaxes(ca2)[1]
@test ax2[(:a, :c)] == ax2[[:a, :c]] == ComponentArrays.ComponentIndex([1, 3:8...], Axis(a = 1, c = ViewAxis(2:7, ShapedAxis((2,3)))))
@test length(ComponentArrays.ComponentIndex(1, ComponentArrays.NullAxis())) == 1
@test length(ComponentArrays.ComponentIndex(3:4, ShapedAxis(size(3:4)))) == 2
@test length(ComponentArrays.ComponentIndex(5:8, Axis(a = r2v(1:3), b = 4))) == 4
@test length(ComponentArrays.ComponentIndex([1, 3, 4], Axis(a = 1, c = r2v(2:3)))) == 3
@test length(ComponentArrays.ComponentIndex([1, 3:8...], Axis(a = 1, c = ViewAxis(2:7, ShapedAxis((2,3)))))) == 7
end
@testset "KeepIndex" begin
@test ca[KeepIndex(:a)] == ca[KeepIndex(1)] == ComponentArray(a = 1)
@test ca[KeepIndex(:b)] == ca[KeepIndex(2)] == ComponentArray(b = 2)
@test ca[KeepIndex(:c)] == ca[KeepIndex(3:4)] == ComponentArray(c = [3, 4])
@test ca[KeepIndex(:d)] == ca[KeepIndex(5:8)] == ComponentArray(d = (a = [5, 6, 7], b = 8))
@test ca[KeepIndex(1:2)] == ComponentArray(a = 1, b = 2)
@test ca[KeepIndex(1:3)] == ComponentArray([1, 2, 3], Axis(a = 1, b = 2)) # Drops c axis
@test ca[KeepIndex(2:5)] == ComponentArray([2, 3, 4, 5], Axis(b = 1, c = r2v(2:3)))
@test ca[KeepIndex(3:end)] == ComponentArray(c = [3, 4], d = (a = [5, 6, 7], b = 8))
@test ca[KeepIndex(:)] == ca
@test cmat[KeepIndex(:a), KeepIndex(:b)] == ComponentArray(fill(2, 1, 1), Axis(a = 1), Axis(b = 1))
@test cmat[KeepIndex(:), KeepIndex(:c)] == ComponentArray((1:8) * (3:4)', getaxes(ca)[1], Axis(c = r2v(1:2)))
@test cmat[KeepIndex(2:5), 1:2] == ComponentArray((2:5) * (1:2)', Axis(b = 1, c = r2v(2:3)), ShapedAxis(size(1:2)))
@test cmat[KeepIndex(2), KeepIndex(3)] == ComponentArray(fill(2 * 3, 1, 1), Axis(b = 1), FlatAxis())
@test cmat[KeepIndex(2), 3] == ComponentArray(b = 2 * 3)
end
end
end
@testset "Similar" begin
@test similar(ca) isa typeof(ca)
@test similar(ca2) isa typeof(ca2)
@test similar(ca, Float32) isa typeof(ca_Float32)
@test eltype(similar(ca, ForwardDiff.Dual)) == ForwardDiff.Dual
@test similar(ca, 5) isa typeof(getdata(ca))
@test similar(ca, Float32, 5) isa typeof(getdata(ca_Float32))
@test similar(cmat, 5, 5) isa typeof(getdata(cmat))
# Issue #206
x = ComponentArray(a = false, b = true)
@test typeof(x) == typeof(zero(x))
end
@testset "Copy" begin
@test copy(ca) == ca
@test deepcopy(ca) == ca
end
@testset "Convert" begin
@test NamedTuple(ca) == nt
@test NamedTuple(ca.c) == c
@test convert(typeof(ca), a) == ca
@test convert(typeof(ca), ca) == ca
@test convert(typeof(cmat), cmat) == cmat
@test convert(Array, ca) == getdata(ca)
@test convert(Matrix{Float32}, cmat) isa Matrix{Float32}
tr = Tracker.param(ca)
ca_ = convert(typeof(ca), tr)
@test ca_.a == ca.a
end
@testset "Broadcasting" begin
temp = deepcopy(ca)
@test eltype(Float32.(ca)) == Float32
@test ca .* ca' == cmat
@test 1 .* (ca .+ ca) == ComponentArray(a .+ a, getaxes(ca))
@test typeof(ca .+ cmat) == typeof(cmat)
@test getaxes(false .* ca .* ca') == (ax, ax)
@test getaxes(false .* ca' .* ca) == (ax, ax)
@test (vec(temp) .= vec(ca_Float32)) isa ComponentArray
@test_broken getdata(ca_MVector .* ca_MVector) isa MArray
@test_broken typeof(ca .* ca_MVector) == typeof(ca)
@test_broken typeof(ca_SVector .* ca) == typeof(ca)
@test_broken typeof(ca_SVector .* ca_SVector) == typeof(ca_SVector)
@test_broken typeof(ca_SVector .* ca_MVector) == typeof(ca_SVector)
@test_broken typeof(ca_SVector' .+ ca) == typeof(cmat)
@test_broken getdata(ca_SVector' .+ ca_SVector') isa StaticArrays.StaticArray
@test_broken getdata(ca_SVector .* ca_SVector') isa StaticArrays.StaticArray
@test_broken ca_SVector .* ca .+ a .- 1 isa ComponentArray
# Issue #31 (with Complex as a stand-in for Dual)
@test reshape(Complex.(ca, Float32.(a)), size(ca)) isa ComponentArray{Complex{Float64}}
# Issue #34 : Different Axis types
x1 = ComponentArray(a = [1.1, 2.1], b = [0.1])
x2 = ComponentArray(a = [1.1, 2.1], b = 0.1)
x3 = ComponentArray(a = [1.1, 2.1], c = [0.1])
xmat = x1 .* x2'
x1mat = x1 .* x1'
@test x1 + x2 isa Vector
@test x1 + x3 isa Vector
@test x2 + x3 isa Vector
@test x1 .* x2 isa Vector
@test xmat + x1mat isa ComponentArray
@test xmat isa ComponentArray
@test getaxes(xmat) == (getaxes(x1)[1], getaxes(x2)[1])
@test getaxes(x1mat + xmat) == (getaxes(x1)[1], FlatAxis())
@test getaxes(x1mat + xmat') == (FlatAxis(), getaxes(x1)[1])
@test map(sqrt, ca) isa ComponentArray
@test map(+, ca, sqrt.(ca)) isa ComponentArray
@test map(+, sqrt.(ca), Float32.(ca), ca) isa ComponentArray
@test map(+, ca, getdata(ca)) isa Array
@test map(+, ca, ComponentArray(v = getdata(ca))) isa Array
x1 .+= x2
@test getdata(x1) == 2getdata(x2)
# Issue #60
x4 = ComponentArray(rand(3, 3), Axis(x = 1, y = 2, z = 3), Axis(x = 1, y = 2, z = 3))
@test x4 + I(3) isa ComponentMatrix
# Issue #98
let
x = ComponentArray(x = 1:3)
y = ComponentArray(y = 1:3)
z = ComponentArray(z = 1:3)
yz = y * z'
@test yz * x == ComponentArray(y = [14, 28, 42])
@test getdata(yz) * x == [14, 28, 42]
@test x .+ y .+ z isa Vector
@test Complex.(x, y) isa Vector
@test Complex.(x, x) isa ComponentVector
@test Complex.(x, y') isa ComponentMatrix
end
end
@testset "Math" begin
a_t = collect(a')
@test ca * ca' == collect(cmat)
@test ca * ca' == a * a'
@test ca' * ca == a' * a
@test cmat * ca == ComponentArray(cmat * a, getaxes(ca))
@test cmat' * ca isa AbstractArray
@test a' * ca isa Number
@test cmat'' == cmat
@test ca'' == ca
@test ca.c' * cmat[:c, :c] * ca.c isa Number
@test ca * 1 isa ComponentVector
@test size(ca' * 1) == size(ca')
@test a' * ca isa Number
@test a_t * ca isa AbstractArray
@test a' * cmat isa Adjoint
@test a_t * cmat isa AbstractArray
@test cmat * ca isa AbstractVector
@test ca + ca + ca isa typeof(ca)
@test a + ca + ca isa typeof(ca)
@test a * ca' isa AbstractMatrix
@test ca * transpose(ca) == collect(cmat)
@test ca * transpose(ca) == a * transpose(a)
@test transpose(ca) * ca == transpose(a) * a
@test ca' * cmat == ComponentArray(a' * getdata(cmat), getaxes(ca))
@test transpose(transpose(cmat)) == cmat
@test transpose(transpose(ca)) == ca
@test transpose(ca.c) * cmat[:c, :c] * ca.c isa Number
@test size(transpose(ca) * 1) == size(transpose(ca))
@test transpose(a) * ca isa Number
@test transpose(a) * cmat isa Transpose
@test a * transpose(ca) isa AbstractMatrix
temp = deepcopy(ca)
temp .= (cmat + I) \ ca
@test temp isa ComponentArray
@test (ca' / (cmat' + I))' == (cmat + I) \ ca
@test cmat * ((cmat + I) \ ca) isa AbstractArray
@test inv(cmat + I) isa AbstractArray
tempmat = deepcopy(cmat)
@test ldiv!(temp, lu(cmat + I), ca) isa ComponentVector
@test ldiv!(getdata(temp), lu(cmat + I), ca) isa AbstractVector
@test ldiv!(tempmat, lu(cmat + I), cmat) isa ComponentMatrix
@test ldiv!(getdata(tempmat), lu(cmat + I), cmat) isa AbstractMatrix
c = (a=2, b=[1, 2]);
x = ComponentArray(a=5, b=[(a=20., b=3.0), (a=33., b=2.0), (a=44., b=3.0)], c=c)
@test ldiv!(rand(10),Diagonal(x), x) isa Vector
vca2 = vcat(ca2', ca2')
hca2 = hcat(ca2, ca2)
temp = ComponentVector(q = 100, r = rand(3, 3, 3))
vtempca = [temp; ca]
@test all(vca2[1, :] .== ca2)
@test all(hca2[:, 1] .== ca2)
@test all(vca2' .== hca2)
@test hca2[:a, :] == vca2[:, :a]
@test vtempca isa ComponentVector
@test vtempca.r == temp.r
@test vtempca.c == ca.c
@test length(vtempca) == length(temp) + length(ca)
@test [ca; ca; ca] isa Vector
@test vcat(ca, 100) isa Vector
@test [ca' ca']' isa Vector
@test keys(getaxes([ca' temp']')[1]) == (:a, :b, :c, :q, :r)
# Getting serious about axes
let
ab = ComponentArray(a = 1, b = 5)
cd = ComponentArray(c = 3, d = 7)
ab_ab = ab * ab'
ab_cd = ab * cd' + I
cd_ab = cd * ab'
cd_cd = cd * cd'
AB = Axis(a = 1, b = 2)
CD = Axis(c = 1, d = 2)
_AB = Axis(a = 2, b = 3)
_CD = Axis(c = 2, d = 3)
ABCD = Axis(a = 1, b = 2, c = 3, d = 4)
CDAB = Axis(c = 1, d = 2, a = 3, b = 4)
# Cats
@test [ab_ab; ab_ab] isa Matrix
@test [ab_ab; ab_cd] isa Matrix
@test getaxes([ab_ab; cd_ab]) == (ABCD, AB)
@test getaxes([ab_ab ab_cd]) == (AB, ABCD)
@test getaxes([ab_ab ab_cd; cd_ab cd_cd]) == (ABCD, ABCD)
@test getaxes([ab_ab ab_cd; cd_ab cd_cd]) == (ABCD, ABCD)
@test getaxes([ab ab_cd]) == (AB, _CD)
@test getaxes([ab_cd ab]) == (AB, CD)
@test getaxes([ab'; cd_ab]) == (_CD, AB)
@test getaxes([cd'; cd_ab']) == (_AB, CD)
@test getaxes([cd'; cd_ab']) == (_AB, CD)
# Math
@test getaxes(ab_cd * cd) == (AB,)
@test getaxes(cd_ab' * cd) == (AB,)
@test getaxes(cd' * cd_ab) == (FlatAxis(), AB)
@test getaxes(cd' * cd_ab') == (FlatAxis(), CD)
@test getaxes(cd_ab' * cd_ab) == (AB, AB)
@test getaxes(cd_ab' * ab_cd') == (AB, AB)
@test getaxes(ab_cd * ab_cd') == (AB, AB)
@test getaxes(ab_cd \ ab) == (CD,)
@test getaxes(ab_cd' \ cd) == (AB,)
@test getaxes(cd' / ab_cd) == (FlatAxis(), AB)
@test getaxes(ab' / ab_cd') == (FlatAxis(), CD)
@test getaxes(ab_cd \ ab_cd) == (CD, CD)
end
# Issue #33
smat = @SMatrix [1 2; 3 4]
b = ComponentArray(a = 1, b = 2)
@test smat * b isa StaticArray
# Issue #86: Matrix multiplication
in1 = ComponentArray(u1 = 1)
in2 = ComponentArray(u2 = 1)
out1 = ComponentArray(y1 = 1)
out2 = ComponentArray(y2 = 1)
s1_D = out1 * in1'
s2_D = out2 * in2'
@test getaxes(s1_D * s2_D) == (Axis(y1 = 1), Axis(u2 = 1))
@test getaxes(s2_D * s1_D) == (Axis(y2 = 1), Axis(u1 = 1))
@test getaxes((s1_D * s2_D) * in2) == getaxes(s1_D * (s2_D * in2)) == (Axis(y1 = 1),)
@test getaxes((s2_D * s1_D) * in1) == getaxes(s2_D * (s1_D * in1)) == (Axis(y2 = 1),)
@test getaxes(out1' * (s1_D * s2_D)) == getaxes(transpose(out1) * (s1_D * s2_D)) == (FlatAxis(), Axis(u2 = 1))
@test ComponentArrays.ArrayInterface.lu_instance(cmat).factors isa ComponentMatrix
@test ComponentArrays.ArrayInterface.parent_type(cmat) === Matrix{Float64}
end
@testset "Static Unpack" begin
x = ComponentArray(a=5, b=[4, 1], c = [1 2; 3 4], d=(e=2, f=[6, 30.0]))
@static_unpack a, b, c, d = x
@static_unpack e, f = x.d .+ 0
@test a isa Float64
@test b isa SVector{2, Float64}
@test c isa SMatrix{2, 2, Float64, 4}
@test d isa ComponentArray
@test e isa Float64
@test f isa SVector{2, Float64}
@static_unpack a = x
@static_unpack (; b, c) = x
@test a isa Float64
@test b isa SVector{2, Float64}
@test c isa SMatrix{2, 2, Float64, 4}
end
@testset "Plot Utilities" begin
lab = labels(ca2)
@test lab == [
"a",
"b[1].a.a",
"b[1].a.b",
"b[1].b",
"b[2].a.a",
"b[2].a.b",
"b[2].b",
"c.a.a",
"c.a.b[1]",
"c.a.b[2]",
"c.b[1,1]",
"c.b[2,1]",
"c.b[1,2]",
"c.b[2,2]",
]
@test label2index(ca2, "c.b") == collect(11:14)
# Issue #74
lab2 = labels(ComponentArray(a = 1, aa = ones(2), ab = [(a = 1, aa = ones(2)), (a = 1, aa = ones(2))], ac = (a = 1, ab = ones(2, 2))))
@test label2index(lab2, "a") == [1]
@test label2index(lab2, "aa") == collect(2:3)
@test label2index(lab2, "ab") == collect(4:9)
@test label2index(lab2, "ab[1].aa") == collect(5:6)
@test label2index(lab2, "ac") == collect(10:14)
@test label2index(lab2, "ac.a") == [10]
@test label2index(lab2, "ac.ab") == collect(11:14)
end
@testset "Uncategorized Issues" begin
# Issue #25
@test sum(abs2, cmat) == sum(abs2, getdata(cmat))
# Issue #40
r0 = [1131.340, -2282.343, 6672.423]u"km"
v0 = [-5.64305, 4.30333, 2.42879]u"km/s"
rv0 = ComponentArray(r = r0, v = v0)
zrv0 = zero(rv0)
@test all(zero(cmat) * ca .== zero(ca))
@test typeof(zrv0) === typeof(rv0)
@test typeof(zrv0.r[1]) == typeof(rv0[1])
# Issue #140
@test ComponentArrays.ArrayInterface.indices_do_not_alias(typeof(ca)) == true
@test ComponentArrays.ArrayInterface.instances_do_not_alias(typeof(ca)) == false
# Issue #193
# Make sure we aren't doing type piracy on `reshape`
@test ndims(dropdims(ones(1,1), dims=(1,2))) == 0
# `stack` was introduced in Julia 1.9
# Issue #254
x = ComponentVector(a=[1, 2])
y = ComponentVector(a=[3, 4])
xy = stack([x, y])
# The data in `xy` should be the same as what we'd get if we used plain Vectors:
@test getdata(xy) == stack(getdata.([x, y]))
# Check the axes.
xy_ax = getaxes(xy)
# Should have two axes since xy should be a ComponentMatrix.
@test length(xy_ax) == 2
# First axis should be the same as x.
@test xy_ax[1] == only(getaxes(x))
# Second axis should be a FlatAxis.
@test xy_ax[2] == FlatAxis()
# Does the dims argument to stack work?
# Using `dims=2` should be the same as the default value.
xy2 = stack([x, y]; dims=2)
@test xy2 == xy
# Using `dims=1` should stack things vertically.
xy3 = stack([x, y]; dims=1)
@test all(xy3[1, :a] .== xy[:a, 1])
@test all(xy3[2, :a] .== xy[:a, 2])
# But can we stack 2D arrays?
x = ComponentVector(a=[1, 2])
y = ComponentVector(b=[3, 4])
X = x .* y'
Y = x .* y' .+ 4
XY = stack([X, Y])
# The data in `XY` should be the same as what we'd get if we used plain Vectors:
@test getdata(XY) == stack(getdata.([X, Y]))
# Check the axes.
XY_ax = getaxes(XY)
# Should have three axes since XY should be a 3D ComponentArray.
@test length(XY_ax) == 3
# First two axes should be the same as XY.
@test XY_ax[1] == getaxes(XY)[1]
@test XY_ax[2] == getaxes(XY)[2]
# Third should be a FlatAxis.
@test XY_ax[3] == FlatAxis()
# Should test indexing too.
@test all(XY[:a, :b, 1] .== X)
@test all(XY[:a, :b, 2] .== Y)
# Make sure the dims argument works.
# Using `dims=3` should be the same as the default value.
XY_d3 = stack([X, Y]; dims=3)
@test XY_d3 == XY
# Using `dims=2` stacks along the second axis.
XY_d2 = stack([X, Y]; dims=2)
@test all(XY_d2[:a, 1, :b] .== XY[:a, :b, 1])
@test all(XY_d2[:a, 2, :b] .== XY[:a, :b, 2])
# Using `dims=1` stacks along the first axis.
XY_d1 = stack([X, Y]; dims=1)
@test all(XY_d1[1, :a, :b] .== XY[:a, :b, 1])
@test all(XY_d1[2, :a, :b] .== XY[:a, :b, 2])
# Issue #254, tuple of arrays:
x = ComponentVector(a=[1, 2])
y = ComponentVector(b=[3, 4])
Xstack1 = stack((x, y, x); dims=1)
Xstack1_noca = stack((getdata(x), getdata(y), getdata(x)); dims=1)
@test all(Xstack1 .== Xstack1_noca)
@test all(Xstack1[1, :a] .== Xstack1_noca[1, :])
@test all(Xstack1[2, :a] .== Xstack1_noca[2, :])
# Issue #254, Array of tuples.
Xstack2 = stack(ComponentArray(a=(1,2,3), b=(4,5,6)))
Xstack2_noca = stack([(1,2,3), (4,5,6)])
@test all(Xstack2 .== Xstack2_noca)
@test all(Xstack2[:, :a] .== Xstack2_noca[:, 1])
@test all(Xstack2[:, :b] .== Xstack2_noca[:, 2])
Xstack2_d1 = stack(ComponentArray(a=(1,2,3), b=(4,5,6)); dims=1)
Xstack2_noca_d1 = stack([(1,2,3), (4,5,6)]; dims=1)
@test all(Xstack2_d1 .== Xstack2_noca_d1)
@test all(Xstack2_d1[:a, :] .== Xstack2_noca_d1[1, :])
@test all(Xstack2_d1[:b, :] .== Xstack2_noca_d1[2, :])
# Issue #254, generator of arrays.
Xstack3 = stack(ComponentArray(z=[x,x]) for x in 1:4)
Xstack3_noca = stack([x, x] for x in 1:4)
# That should give me
# [1 2 3 4;
# 1 2 3 4]
@test all(Xstack3 .== Xstack3_noca)
@test all(Xstack3[:z, 1] .== Xstack3_noca[:, 1])
@test all(Xstack3[:z, 2] .== Xstack3_noca[:, 2])
@test all(Xstack3[:z, 3] .== Xstack3_noca[:, 3])
@test all(Xstack3[:z, 4] .== Xstack3_noca[:, 4])
Xstack3_d1 = stack(ComponentArray(z=[x,x]) for x in 1:4; dims=1)
Xstack3_noca_d1 = stack([x, x] for x in 1:4; dims=1)
# That should give me
# [1 1;
# 2 2;
# 3 3;
# 4 4;]
@test all(Xstack3_d1 .== Xstack3_noca_d1)
@test all(Xstack3_d1[1, :z] .== Xstack3_noca_d1[1, :])
@test all(Xstack3_d1[2, :z] .== Xstack3_noca_d1[2, :])
@test all(Xstack3_d1[3, :z] .== Xstack3_noca_d1[3, :])
@test all(Xstack3_d1[4, :z] .== Xstack3_noca_d1[4, :])
# Issue #254, map then stack.
Xstack4_d1 = stack(x -> ComponentArray(a=x, b=[x+1,x+2]), [5 6; 7 8]; dims=1) # map then stack
Xstack4_noca_d1 = stack(x -> [x, x+1, x+2], [5 6; 7 8]; dims=1) # map then stack
@test all(Xstack4_d1 .== Xstack4_noca_d1)
@test all(Xstack4_d1[:, :a] .== Xstack4_noca_d1[:, 1])
@test all(Xstack4_d1[:, :b] .== Xstack4_noca_d1[:, 2:3])
Xstack4_d2 = stack(x -> ComponentArray(a=x, b=[x+1,x+2]), [5 6; 7 8]; dims=2) # map then stack
Xstack4_noca_d2 = stack(x -> [x, x+1, x+2], [5 6; 7 8]; dims=2) # map then stack
@test all(Xstack4_d2 .== Xstack4_noca_d2)
@test all(Xstack4_d2[:a, :] .== Xstack4_noca_d2[1, :])
@test all(Xstack4_d2[:b, :] .== Xstack4_noca_d2[2:3, :])
Xstack4_dcolon = stack(x -> ComponentArray(a=x, b=[x+1,x+2]), [5 6; 7 8]; dims=:) # map then stack
Xstack4_noca_dcolon = stack(x -> [x, x+1, x+2], [5 6; 7 8]; dims=:) # map then stack
@test all(Xstack4_dcolon .== Xstack4_noca_dcolon)
@test all(Xstack4_dcolon[:a, :, :] .== Xstack4_noca_dcolon[1, :, :])
@test all(Xstack4_dcolon[:b, :, :] .== Xstack4_noca_dcolon[2:3, :, :])
# Test fix https://github.com/Deltares/Ribasim/issues/2028
a = range(0.0, 1.0, length=0) |> collect
b = range(0.0, 1.0; length=2) |> collect
c = range(0.0, 1.0, length=3) |> collect
d = range(0.0, 1.0; length=0) |> collect
u = ComponentVector(a=a, b=b, c=c, d=d)
function get_state_index(
idx::Int,
::ComponentVector{A, B, <:Tuple{<:Axis{NT}}},
component_name::Symbol
) where {A, B, NT}
for (comp, range) in pairs(NT)
if comp == component_name
return range[idx]
end
end
return nothing
end
@test_throws BoundsError get_state_index(1, u, :a)
@test_throws BoundsError get_state_index(2, u, :a)
@test get_state_index(1, u, :b) == 1
@test get_state_index(2, u, :b) == 2
@test get_state_index(1, u, :c) == 3
@test get_state_index(2, u, :c) == 4
@test get_state_index(3, u, :c) == 5
@test_throws BoundsError get_state_index(1, u, :d)
@test_throws BoundsError get_state_index(2, u, :d)
# Must be a better way to make sure we can `Base.iterate` the `ViewAxis{UnitRange, Shaped1DAxis}`.
nt = ComponentArrays.indexmap(getaxes(u)[1])
for (i, idx) in enumerate(nt.a)
end
for (i, idx) in enumerate(nt.b)
@test idx == i
end
for (i, idx) in enumerate(nt.c)
@test idx == i + 2
end
for (i, idx) in enumerate(nt.d)
end
end
@testset "axpy! / axpby!" begin
y = ComponentArray(a = rand(4), b = rand(4))
x = ComponentArray(a = rand(4), b = rand(4))
ydata = copy(getdata(y))
axpy!(2, x, y)
@test getdata(y) == 2 .* getdata(x) .+ ydata
x = ComponentArray(a = rand(4), c = rand(4))
@test_throws ArgumentError axpy!(2, x, y)
y = ComponentArray(a = rand(4), b = rand(4))
x = ComponentArray(a = rand(4), b = rand(4))
ydata = copy(getdata(y))
axpby!(2, x, 3, y)
@test getdata(y) == 2 .* getdata(x) .+ 3 .* ydata
x = ComponentArray(a = rand(4), c = rand(4))
@test_throws ArgumentError axpby!(2, x, 3, y)
end
@testset "Functors" begin
for carray in (ca, ca_Float32, ca_MVector, ca_SVector, ca_composed, ca2, caa)
θ, re = Functors.functor(carray)
@test θ isa NamedTuple
@test re(θ) == carray
end
end
@testset "Autodiff" begin
include("autodiff_tests.jl")
end
@testset "GPU" begin
include("gpu_tests.jl")
end
@testset "Reactant" begin
include("reactant_tests.jl")
end