Upgrade to ApproxFunBase v0.8

Project.toml

@@ -1,6 +1,6 @@
 name = "ApproxFunOrthogonalPolynomials"
 uuid = "b70543e2-c0d9-56b8-a290-0d4d6d4de211"
-version = "0.6.13"
+version = "0.6.14"
 
 [deps]
 ApproxFunBase = "fbd15aa5-315a-5a7d-a8a4-24992e37be05"
@@ -20,7 +20,7 @@ StaticArrays = "90137ffa-7385-5640-81b9-e52037218182"
 Statistics = "10745b16-79ce-11e8-11f9-7d13ad32a3b2"
 
 [compat]
-ApproxFunBase = "0.7.71"
+ApproxFunBase = "0.8"
 ApproxFunBaseTest = "0.1"
 Aqua = "0.5"
 BandedMatrices = "0.16, 0.17"

src/Spaces/Jacobi/JacobiOperators.jl

@@ -9,7 +9,7 @@ Derivative(J::Jacobi) = ConcreteDerivative(J,1)
     else
         d = domain(J)
         v = [ConcreteDerivative(Jacobi(J.b+i-1, J.a+i-1, d)) for i in k:-1:1]
-        DerivativeWrapper(TimesOperator(v), J, k)
+        DerivativeWrapper(TimesOperator(v), k, J)
     end
 end
 @static if VERSION >= v"1.8"
@@ -49,14 +49,14 @@ function Integral(J::Jacobi,k::Number)
     @assert k > 0 "order of integral must be > 0"
     if k > 1
         Q=Integral(J,1)
-        IntegralWrapper(TimesOperator(Integral(rangespace(Q),k-1),Q),J,k)
+        IntegralWrapper(TimesOperator(Integral(rangespace(Q),k-1),Q),k,J)
     elseif J.a > 0 && J.b > 0   # we have a simple definition
         ConcreteIntegral(J,1)
     else   # convert and then integrate
         sp=Jacobi(J.b+1,J.a+1,domain(J))
         C=Conversion(J,sp)
         Q=Integral(sp,1)
-        IntegralWrapper(TimesOperator(Q,C),J,1)
+        IntegralWrapper(TimesOperator(Q,C),1,J)
     end
 end
 

src/Spaces/PolynomialSpace.jl

@@ -531,8 +531,8 @@ hasconversion(a::NormalizedPolynomialSpace,b::PolynomialSpace) = hasconversion(a
 hasconversion(a::NormalizedPolynomialSpace,b::NormalizedPolynomialSpace) = hasconversion(a.space,b)
 
 function isdiag(D::DerivativeWrapper{<:Operator, <:NormalizedPolynomialSpace})
-    sp = D.space
-    csp = _stripnorm(sp)
+    sp = domainspace(D)
+    csp = canonicalspace(sp)
     isdiag(Derivative(csp, D.order))
 end
 
@@ -577,5 +577,11 @@ function Derivative(sp::NormalizedPolynomialSpace, k::Number)
     csp=canonicalspace(sp)
     D = Derivative(csp,k)
     C = ConcreteConversion(sp,csp)
-    DerivativeWrapper(TimesOperator(D, C), sp, k)
+    DerivativeWrapper(TimesOperator(D, C), k, sp, rangespace(D))
 end
+
+ApproxFunBase.hasconcreteconversion_canonical(
+    @nospecialize(::NormalizedPolynomialSpace), @nospecialize(_)) = true
+
+rangespace(M::MultiplicationWrapper{<:PolynomialSpace,
+        <:NormalizedPolynomialSpace}) = domainspace(M)

src/Spaces/Ultraspherical/UltrasphericalOperators.jl

@@ -141,7 +141,7 @@ function Conversion(A::Chebyshev, B::Ultraspherical)
         CAU = ConcreteConversion(A, U)
         v2 = Union{eltype(v), typeof(CAU)}[v; CAU]
         bwsum = (0, (isapproxinteger(mB) ? 2length(v2) : ℵ₀))
-        return ConversionWrapper(TimesOperator(v2, bwsum, (ℵ₀,ℵ₀), bwsum))
+        return ConversionWrapper(TimesOperator(v2, bwsum, (ℵ₀,ℵ₀), bwsum), A, B)
     end
     throw(ArgumentError("please implement $A → $B"))
 end
@@ -175,7 +175,7 @@ function Conversion(A::Ultraspherical,B::Ultraspherical)
                 v = [v; vlast]
             end
             bwsum = (0, (isapproxinteger(b-a) ? 2length(v) : ℵ₀))
-            return ConversionWrapper(TimesOperator(v, bwsum, (ℵ₀,ℵ₀), bwsum))
+            return ConversionWrapper(TimesOperator(v, bwsum, (ℵ₀,ℵ₀), bwsum), A, B)
         end
     end
     throw(ArgumentError("please implement $A → $B"))

test/JacobiTest.jl

@@ -258,6 +258,9 @@ using Static
 
         @test (@inferred (n -> domainspace(Derivative(Jacobi(n,n), 2)))(1)) == Jacobi(1,1)
         @test (@inferred (n -> rangespace(Derivative(Jacobi(n,n), 2)))(1)) == Jacobi(3,3)
+
+        D = Derivative(NormalizedLegendre(), 2)
+        @test (@inferred rangespace(D)) == Jacobi(2,2)
     end
 
     @testset "identity Fun for interval domains" begin
@@ -306,6 +309,7 @@ using Static
         end
 
         M1 = @inferred Multiplication(Fun(Legendre()), NormalizedLegendre())
+        @test (@inferred rangespace(M1)) == NormalizedLegendre()
         @test M1 * Fun(x->x^4, NormalizedLegendre()) ≈ Fun(x->x^5, NormalizedLegendre())
         M2 = @inferred Multiplication(Fun(NormalizedLegendre()), Legendre())
         @test M2 * Fun(x->x^4, Legendre()) ≈ Fun(x->x^5, Legendre())