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Merged
ChrisRackauckas merged 1 commit into from
Jun 14, 2026
Merged

Use SciMLTesting v1.2 (folder-based run_tests) #65

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3 changes: 2 additions & 1 deletion test/Project.toml
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Original file line number Diff line number Diff line change
Expand Up @@ -4,9 +4,9 @@ ArrayLayouts = "4c555306-a7a7-4459-81d9-ec55ddd5c99a"
BenchmarkTools = "6e4b80f9-dd63-53aa-95a3-0cdb28fa8baf"
LinearAlgebra = "37e2e46d-f89d-539d-b4ee-838fcccc9c8e"
MatrixFactorizations = "a3b82374-2e81-5b9e-98ce-41277c0e4c87"
Pkg = "44cfe95a-1eb2-52ea-b672-e2afdf69b78f"
Random = "9a3f8284-a2c9-5f02-9a11-845980a1fd5c"
SafeTestsets = "1bc83da4-3b8d-516f-aca4-4fe02f6d838f"
SciMLTesting = "09d9d899-5365-40a9-917a-5f67fddea283"
SparseArrays = "2f01184e-e22b-5df5-ae63-d93ebab69eaf"
Test = "8dfed614-e22c-5e08-85e1-65c5234f0b40"

Expand All @@ -16,3 +16,4 @@ ArrayLayouts = "1.12.2"
BenchmarkTools = "1.6.3"
MatrixFactorizations = "3.1.3"
SafeTestsets = "0.1.0"
SciMLTesting = "1"
101 changes: 101 additions & 0 deletions test/core_tests.jl
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@@ -0,0 +1,101 @@
using SafeTestsets

@safetestset "Constructors" begin
using FastAlmostBandedMatrices

A = AlmostBandedMatrix{Float64}(undef, (10, 11), (2, 1), 2)
A[1, 1] = 2
@test A[1, 1] == 2.0
A[4, 1] = 0
@test A[4, 1] == 0.0
@test_throws BandError A[4, 1] = 2
A[1, 3] = 5
@test A[1, 3] == 5.0

@test almostbandwidths(A) == (2, 1)
@test almostbandedrank(A) == 2
end

@safetestset "similar" begin
using FastAlmostBandedMatrices

A = AlmostBandedMatrix(brand(Float64, 10, 10, 2, 1), rand(Float64, 2, 10))

@test similar(A) isa AlmostBandedMatrix
@test similar(A, Float32) isa AlmostBandedMatrix{Float32}

fallback = similar(A, Float32, 10, 10)
@test fallback isa Matrix{Float32}
@test size(fallback) == size(A)
end

@safetestset "Copy" begin
using FastAlmostBandedMatrices

n = 5
m = 2

A1 = AlmostBandedMatrix(brand(Float64, n, n, m + 1, m), rand(Float64, m, n))
A2 = copy(A1)

@test !(A2 isa Matrix)
@test A1 == A2

A2 = deepcopy(A1)

@test !(A2 isa Matrix)
@test A1 == A2
end

@safetestset "QR" begin
using LinearAlgebra, FastAlmostBandedMatrices
import MatrixFactorizations: QRPackedQ

n = 80
A = AlmostBandedMatrix(BandedMatrix(fill(2.0, n, n), (1, 1)), fill(3.0, 2, n))
A[band(0)] .+= 1:n
à = deepcopy(A)
B, L = bandpart(A), fillpart(A)

F = qr(A)
@test F.Q isa LinearAlgebra.QRPackedQ{Float64, <:BandedMatrix}
@test F.R isa UpperTriangular{Float64, <:SubArray{Float64, 2, <:AlmostBandedMatrix}}
@test F.Q' * A ≈ F.R
@test A == Ã

@inferred qr(A)

b = randn(n)
@test A \ b ≈ Matrix(A) \ b
@test all(A \ b .=== F \ b)
@test all(A \ b .=== F.R \ (F.Q' * b))
Q̃ = QRPackedQ(F.factors, F.τ)
@test Matrix(Q̃) ≈ Matrix(F.Q)
@test lmul!(Q̃, copy(b)) ≈ lmul!(F.Q, copy(b)) ≈ Matrix(F.Q) * b
@test lmul!(Q̃', copy(b)) ≈ lmul!(F.Q', copy(b)) ≈ Matrix(F.Q)' * b
end

@safetestset "Triangular" begin
using LinearAlgebra, ArrayLayouts, FastAlmostBandedMatrices
import FastAlmostBandedMatrices: AlmostBandedLayout

n = 80
A = AlmostBandedMatrix(BandedMatrix(fill(2.0, n, n), (1, 1)), fill(3.0, 1, n))
b = randn(n)
@test MemoryLayout(UpperTriangular(A)) ==
TriangularLayout{'U', 'N', AlmostBandedLayout}()
@test_broken UpperTriangular(Matrix(A)) \ b ≈ UpperTriangular(A) \ b
@test_broken UnitUpperTriangular(Matrix(A)) \ b ≈ UnitUpperTriangular(A) \ b
@test LowerTriangular(Matrix(A)) \ b ≈ LowerTriangular(A) \ b
@test UnitLowerTriangular(Matrix(A)) \ b ≈ UnitLowerTriangular(A) \ b
end

# https://github.com/SciML/FastAlmostBandedMatrices.jl/issues/19
@safetestset "fill! on sparse array with BigFloat" begin
using FastAlmostBandedMatrices, SparseArrays

A = sparse([1, 2], [1, 5], big.([1.0, 1.0]))
A1 = AlmostBandedMatrix(brand(BigFloat, 5, 5, 1, 1), A)
fill!(A1, BigFloat(0.0))
@test length(A1.fill.nzval) == 2
end
4 changes: 4 additions & 0 deletions test/qa/Project.toml
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@@ -1,12 +1,16 @@
[deps]
Aqua = "4c88cf16-eb10-579e-8560-4a9242c79595"
FastAlmostBandedMatrices = "9d29842c-ecb8-4973-b1e9-a27b1157504e"
SafeTestsets = "1bc83da4-3b8d-516f-aca4-4fe02f6d838f"
SciMLTesting = "09d9d899-5365-40a9-917a-5f67fddea283"
Test = "8dfed614-e22c-5e08-85e1-65c5234f0b40"

[sources]
FastAlmostBandedMatrices = {path = "../.."}

[compat]
Aqua = "0.8.14"
SafeTestsets = "0.0.1, 0.1"
SciMLTesting = "1"
Test = "1"
julia = "1.10"
120 changes: 2 additions & 118 deletions test/runtests.jl
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@@ -1,118 +1,2 @@
using Pkg
using SafeTestsets, Test

const GROUP = get(ENV, "GROUP", "All")

if GROUP == "QA"
Pkg.activate(joinpath(@__DIR__, "qa"))
Pkg.develop(PackageSpec(path = joinpath(@__DIR__, "..")))
Pkg.instantiate()
include(joinpath(@__DIR__, "qa", "qa.jl"))
end

if GROUP == "Core" || GROUP == "All"
@testset "FastAlmostBandedMatrices" begin
@safetestset "Constructors" begin
using FastAlmostBandedMatrices

A = AlmostBandedMatrix{Float64}(undef, (10, 11), (2, 1), 2)
A[1, 1] = 2
@test A[1, 1] == 2.0
A[4, 1] = 0
@test A[4, 1] == 0.0
@test_throws BandError A[4, 1] = 2
A[1, 3] = 5
@test A[1, 3] == 5.0

@test almostbandwidths(A) == (2, 1)
@test almostbandedrank(A) == 2
end

@safetestset "similar" begin
using FastAlmostBandedMatrices

A = AlmostBandedMatrix(brand(Float64, 10, 10, 2, 1), rand(Float64, 2, 10))

@test similar(A) isa AlmostBandedMatrix
@test similar(A, Float32) isa AlmostBandedMatrix{Float32}

fallback = similar(A, Float32, 10, 10)
@test fallback isa Matrix{Float32}
@test size(fallback) == size(A)
end

@safetestset "Copy" begin
using FastAlmostBandedMatrices

n = 5
m = 2

A1 = AlmostBandedMatrix(brand(Float64, n, n, m + 1, m), rand(Float64, m, n))
A2 = copy(A1)

@test !(A2 isa Matrix)
@test A1 == A2

A2 = deepcopy(A1)

@test !(A2 isa Matrix)
@test A1 == A2
end

@safetestset "QR" begin
using LinearAlgebra, FastAlmostBandedMatrices
import MatrixFactorizations: QRPackedQ

n = 80
A = AlmostBandedMatrix(BandedMatrix(fill(2.0, n, n), (1, 1)), fill(3.0, 2, n))
A[band(0)] .+= 1:n
à = deepcopy(A)
B, L = bandpart(A), fillpart(A)

F = qr(A)
@test F.Q isa LinearAlgebra.QRPackedQ{Float64, <:BandedMatrix}
@test F.R isa UpperTriangular{Float64, <:SubArray{Float64, 2, <:AlmostBandedMatrix}}
@test F.Q' * A ≈ F.R
@test A == Ã

@inferred qr(A)

b = randn(n)
@test A \ b ≈ Matrix(A) \ b
@test all(A \ b .=== F \ b)
@test all(A \ b .=== F.R \ (F.Q' * b))
Q̃ = QRPackedQ(F.factors, F.τ)
@test Matrix(Q̃) ≈ Matrix(F.Q)
@test lmul!(Q̃, copy(b)) ≈ lmul!(F.Q, copy(b)) ≈ Matrix(F.Q) * b
@test lmul!(Q̃', copy(b)) ≈ lmul!(F.Q', copy(b)) ≈ Matrix(F.Q)' * b
end

@safetestset "Triangular" begin
using LinearAlgebra, ArrayLayouts, FastAlmostBandedMatrices
import FastAlmostBandedMatrices: AlmostBandedLayout

n = 80
A = AlmostBandedMatrix(BandedMatrix(fill(2.0, n, n), (1, 1)), fill(3.0, 1, n))
b = randn(n)
@test MemoryLayout(UpperTriangular(A)) ==
TriangularLayout{'U', 'N', AlmostBandedLayout}()
@test_broken UpperTriangular(Matrix(A)) \ b ≈ UpperTriangular(A) \ b
@test_broken UnitUpperTriangular(Matrix(A)) \ b ≈ UnitUpperTriangular(A) \ b
@test LowerTriangular(Matrix(A)) \ b ≈ LowerTriangular(A) \ b
@test UnitLowerTriangular(Matrix(A)) \ b ≈ UnitLowerTriangular(A) \ b
end

# https://github.com/SciML/FastAlmostBandedMatrices.jl/issues/19
@safetestset "fill! on sparse array with BigFloat" begin
using FastAlmostBandedMatrices, SparseArrays

A = sparse([1, 2], [1, 5], big.([1.0, 1.0]))
A1 = AlmostBandedMatrix(brand(BigFloat, 5, 5, 1, 1), A)
fill!(A1, BigFloat(0.0))
@test length(A1.fill.nzval) == 2
end
end

# Allocation tests run separately to avoid precompilation interference
include("alloc_tests.jl")
end
using SciMLTesting
run_tests()
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