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tests pass
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test/test_chebyshev.jl

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using ClassicalOrthogonalPolynomials, QuasiArrays, ContinuumArrays, BandedMatrices, LazyArrays,
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FastTransforms, ArrayLayouts, Test, FillArrays, Base64, BlockArrays, LazyBandedMatrices, ForwardDiff
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import ClassicalOrthogonalPolynomials: Clenshaw, recurrencecoefficients, clenshaw, paddeddata, jacobimatrix
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import ClassicalOrthogonalPolynomials: Clenshaw, recurrencecoefficients, clenshaw, paddeddata, jacobimatrix, oneto
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import LazyArrays: ApplyStyle
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import QuasiArrays: MulQuasiMatrix, oneto
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import QuasiArrays: MulQuasiMatrix
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import Base: OneTo
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import ContinuumArrays: MappedWeightedBasisLayout, Map
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test/test_hermite.jl

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using ClassicalOrthogonalPolynomials, ContinuumArrays, DomainSets, FillArrays, Test
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using ClassicalOrthogonalPolynomials, ContinuumArrays, FillArrays, Test
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import ClassicalOrthogonalPolynomials: jacobimatrix, oneto
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import DomainSets:
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@testset "Hermite" begin
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H = Hermite()

test/test_odes.jl

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@@ -2,8 +2,9 @@ using ClassicalOrthogonalPolynomials, ContinuumArrays, QuasiArrays, BandedMatric
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SemiseparableMatrices, LazyArrays, ArrayLayouts, Test
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import QuasiArrays: MulQuasiMatrix
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import ClassicalOrthogonalPolynomials: oneto
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import ContinuumArrays: MappedBasisLayout, MappedWeightedBasisLayout
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import LazyArrays: arguments, ApplyMatrix, oneto
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import LazyArrays: arguments, ApplyMatrix
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import SemiseparableMatrices: VcatAlmostBandedLayout
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@testset "ODEs" begin

test/test_stieltjes.jl

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x = axes(wT,1)
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L = log.(abs.(x .- x'))
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D = T \ (L * wT)
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@test (L * (wT * (T \ exp.(x))))[0.] -2.3347795490945797 # Mathematica
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@test ((L * wT) * (T \ exp.(x)))[0.] -2.3347795490945797 # Mathematica
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x = Inclusion(-1..1)
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T = Chebyshev()[1x, :]
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L = log.(abs.(x .- x'))
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u = wT * (2 *(T \ exp.(x)))
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@test u[0.1] exp(0.1)/sqrt(0.1-0.1^2)
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@test (L * u)[0.5] -7.471469928754152 # Mathematica
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@test_broken (L * u)[0.5] -7.471469928754152 # Mathematica
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end

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