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speed up runtests #87

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Aug 23, 2022
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speed up runtests #87

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43 changes: 17 additions & 26 deletions test/runtests.jl
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Original file line number Diff line number Diff line change
Expand Up @@ -26,7 +26,7 @@ Random.seed!(314159) # use same pseudorandom stream for every test
end

@testset "SkewLinearAlgebra.jl" begin
for T in (Int32,Int64,Float32,Float64,ComplexF32,ComplexF64),n in [1, 2, 20, 153, 200]
for T in (Int32,Float32,Float64,ComplexF32), n in [1, 2, 10, 11]
if T<:Integer
A = SLA.skewhermitian(rand(convert(Array{T},-10:10), n, n) * T(2))
else
Expand All @@ -42,12 +42,7 @@ end
@test similar(A) == SLA.SkewHermitian(zeros(T, n, n))
@test similar(A,ComplexF64) == SLA.SkewHermitian(zeros(ComplexF64, n, n))
@test A == copy(A)::SLA.SkewHermitian
dest = copy(4 * A)
copyto!(dest, A)
@test dest == A
dest = copy(4*A)
copyto!(dest, A.data)
@test dest == A
@test copyto!(copy(4 * A), A) == A
@test size(A) == size(A.data)
@test size(A, 1) == size(A.data, 1)
@test size(A, 2) == size(A.data, 2)
Expand Down Expand Up @@ -80,10 +75,10 @@ end
k = dot(A, A)
@test k ≈ dot(A.data, A.data)
if n > 1
@test getindex(A, 2, 1) == A.data[2,1]
setindex!(A,3, n, n-1)
@test getindex(A, n, n-1) == T(3)
@test getindex(A, n-1, n) == T(-3)
@test A[2,1] == A.data[2,1]
A[n, n-1] = 3
@test A[n, n-1] === T(3)
@test A[n-1, n] === T(-3)
end

x = rand(T, n)
Expand Down Expand Up @@ -137,9 +132,9 @@ end
end

@testset "hessenberg.jl" begin
for T in (Int32,Int64,Float32,Float64,ComplexF32,ComplexF64), n in [2, 20,153,200]
for T in (Int32,Float32,Float64,ComplexF32), n in [2, 10, 11]
if T<:Integer
A = SLA.skewhermitian(rand(convert(Array{T},-10:10), n, n) *T(2))
A = SLA.skewhermitian(rand(T(-10):T(10), n, n) * T(2))
else
A = SLA.skewhermitian(randn(T, n, n))
end
Expand All @@ -150,7 +145,7 @@ end
@test Matrix(HA.Q) ≈ Matrix(HB.Q)
end

for T in (Int32,Int64,Float32,Float64,ComplexF32,ComplexF64)
for T in (Int32,Float64,ComplexF32)
A = zeros(T, 4, 4)
A[2:4,1] = ones(T,3)
A[1,2:4] = -ones(T,3)
Expand All @@ -160,11 +155,10 @@ end
HB = hessenberg(B)
@test Matrix(HA.H) ≈ Matrix(HB.H)
end

end

@testset "eigen.jl" begin
for T in (Int32,Int64,Float32,Float64,ComplexF32,ComplexF64),n in [1, 2, 20, 153, 200]
for T in (Int32,Float32,Float64,ComplexF32), n in [1, 2, 10, 11]
if T<:Integer
A = SLA.skewhermitian(rand(convert(Array{T},-10:10),n,n)* T(2))
else
Expand Down Expand Up @@ -195,8 +189,7 @@ end
end

@testset "exp.jl" begin

for T in (Int32,Int64,Float32,Float64,ComplexF32,ComplexF64), n in [1, 2,20,153,200]
for T in (Int32,Float32,Float64,ComplexF32), n in [1, 2, 10, 11]
if T<:Integer
A = SLA.skewhermitian(rand(convert(Array{T},-10:10), n, n)*T(2))
else
Expand Down Expand Up @@ -237,7 +230,7 @@ end
end

@testset "tridiag.jl" begin
for T in (Int32, Int64, Float32, Float64, ComplexF32, ComplexF64), n in [ 2, 20, 153, 200]
for T in (Int32,Float32,Float64,ComplexF32), n in [2, 10, 11]
if T<:Integer
C = SLA.skewhermitian(rand(convert(Array{T},-20:20), n, n) * T(2))
else
Expand All @@ -247,7 +240,6 @@ end
@test SLA.isskewhermitian(A) == true
@test Tridiagonal(A) ≈ Tridiagonal(C)


if T<:Integer
A = SLA.SkewHermTridiagonal(rand(convert(Array{T},-20:20), n - 1) * T(2))
C = rand(convert(Array{T},-10:10), n, n)
Expand Down Expand Up @@ -328,20 +320,19 @@ end
@test Svd.U * Diagonal(Svd.S) * Svd.Vt ≈ B
@test svdvals(A) ≈ svdvals(B)

setindex!(A, T(2), 2, 1)
@test A[2,1] == T(2)
A[2,1] = 2
@test A[2,1] === T(2)
B = SLA.SkewHermTridiagonal([3,4,5])
@test B == [0 -3 0 0; 3 0 -4 0; 0 4 0 -5; 0 0 5 0]
#@test repr("text/plain", B) == "4×4 SkewLinearAlgebra.SkewHermTridiagonal{$Int, Vector{$Int}}:\n 0 -3 ⋅ ⋅\n 3 0 -4 ⋅\n ⋅ 4 0 -5\n ⋅ ⋅ 5 0"
for f in (real, imag)
@test Matrix(f(A)) == f(Matrix(A))
end

end
end

@testset "pfaffian.jl" begin
for n in [1, 2,3,4,5,6,8,10,20,40]
for n in [1, 2, 3, 10, 11]
A = SLA.skewhermitian(rand(-10:10,n,n) * 2)
Abig = BigInt.(A.data)
@test SLA.pfaffian(A) ≈ SLA.pfaffian(Abig) == SLA.pfaffian(SLA.SkewHermitian(Abig))
Expand All @@ -357,7 +348,7 @@ end
end

@testset "cholesky.jl" begin
for T in (Int32, Int64, Float32, Float64), n in [2, 20, 153, 200]
for T in (Int32, Float32, Float64), n in [2, 10, 11]
if T<:Integer
A = SLA.skewhermitian(rand(convert(Array{T},-10:10), n, n)*T(2))
else
Expand All @@ -372,7 +363,7 @@ end
end

@testset "jmatrix.jl" begin
for T in (Int32, Int64, Float32, Float64), n in [2, 20, 55, 78], sgn in (+1,-1)
for T in (Int32, Float32, Float64), n in [2, 10, 11], sgn in (+1,-1)
A = rand(T,n,n)
J = SLA.JMatrix{T,sgn}(n)
vec = zeros(T, n - 1)
Expand Down