BandedMatrices v1 (#91)

* BandedMatrices v1

* Update SemiclassicalOrthogonalPolynomials.jl

* Update ci.yml

.github/workflows/ci.yml

@@ -1,7 +1,17 @@
 name: CI
 on:
-  - push
-  - pull_request
+  push:
+    branches:
+      - master
+    paths-ignore:
+      - 'LICENSE'
+      - 'README.md'
+      - '.github/workflows/TagBot.yml'
+  pull_request:
+    paths-ignore:
+      - 'LICENSE'
+      - 'README.md'
+      - '.github/workflows/TagBot.yml'
 jobs:
   test:
     name: Julia ${{ matrix.version }} - ${{ matrix.os }} - ${{ matrix.arch }} - ${{ github.event_name }}

Project.toml

@@ -1,7 +1,7 @@
 name = "SemiclassicalOrthogonalPolynomials"
 uuid = "291c01f3-23f6-4eb6-aeb0-063a639b53f2"
 authors = ["Sheehan Olver <[email protected]>"]
-version = "0.5.2"
+version = "0.5.3"
 
 [deps]
 ArrayLayouts = "4c555306-a7a7-4459-81d9-ec55ddd5c99a"
@@ -19,7 +19,7 @@ SpecialFunctions = "276daf66-3868-5448-9aa4-cd146d93841b"
 
 [compat]
 ArrayLayouts = "1"
-BandedMatrices = "0.17"
+BandedMatrices = "0.17, 1"
 ClassicalOrthogonalPolynomials = "0.11"
 ContinuumArrays = "0.15, 0.16"
 FillArrays = "1"

src/SemiclassicalOrthogonalPolynomials.jl

@@ -9,7 +9,7 @@ import ArrayLayouts: MemoryLayout, ldiv, diagonaldata, subdiagonaldata, supdiago
 import BandedMatrices: bandwidths, AbstractBandedMatrix, BandedLayout, _BandedMatrix
 import LazyArrays: resizedata!, paddeddata, CachedVector, CachedMatrix, CachedAbstractVector, LazyMatrix, LazyVector, arguments, ApplyLayout, colsupport, AbstractCachedVector, ApplyArray,
                     AccumulateAbstractVector, LazyVector, AbstractCachedMatrix, BroadcastLayout
-import ClassicalOrthogonalPolynomials: OrthogonalPolynomial, recurrencecoefficients, jacobimatrix, normalize, _p0, UnitInterval, orthogonalityweight, NormalizedOPLayout,
+import ClassicalOrthogonalPolynomials: OrthogonalPolynomial, recurrencecoefficients, jacobimatrix, normalize, _p0, UnitInterval, orthogonalityweight, NormalizedOPLayout, MappedOPLayout,
                                         Bidiagonal, Tridiagonal, SymTridiagonal, symtridiagonalize, normalizationconstant, LanczosPolynomial,
                                         OrthogonalPolynomialRatio, Weighted, AbstractWeightLayout, UnionDomain, oneto, WeightedBasis, HalfWeighted,
                                         golubwelsch, AbstractOPLayout, weight, cholesky_jacobimatrix, qr_jacobimatrix, isnormalized
@@ -214,6 +214,8 @@ axes(P::SemiclassicalJacobi{T}) where T = (Inclusion(UnitInterval{T}()),OneToInf
 ==(A::SemiclassicalJacobi, B::SemiclassicalJacobi) = A.t == B.t && A.a == B.a && A.b == B.b && A.c == B.c
 ==(::AbstractQuasiMatrix, ::SemiclassicalJacobi) = false
 ==(::SemiclassicalJacobi, ::AbstractQuasiMatrix) = false
+==(::SemiclassicalJacobi, ::SubQuasiArray{<:Any,2}) = false
+==(::SubQuasiArray{<:Any,2}, ::SemiclassicalJacobi) = false
 
 orthogonalityweight(P::SemiclassicalJacobi) = SemiclassicalJacobiWeight(P.t, P.a, P.b, P.c)
 
@@ -326,6 +328,7 @@ copy(L::Ldiv{SemiclassicalJacobiLayout}) = semijacobi_ldiv(L.A, L.B)
 copy(L::Ldiv{SemiclassicalJacobiLayout,<:AbstractBasisLayout}) = semijacobi_ldiv(L.A, L.B)
 copy(L::Ldiv{SemiclassicalJacobiLayout,BroadcastLayout{typeof(*)}}) = semijacobi_ldiv(L.A, L.B)
 copy(L::Ldiv{<:Any,SemiclassicalJacobiLayout}) = semijacobi_ldiv(L.A, L.B)
+copy(L::Ldiv{MappedOPLayout,SemiclassicalJacobiLayout}) = semijacobi_ldiv(L.A, L.B)
 copy(L::Ldiv{<:AbstractBasisLayout,SemiclassicalJacobiLayout}) = semijacobi_ldiv(L.A, L.B)
 function copy(L::Ldiv{SemiclassicalJacobiLayout,SemiclassicalJacobiLayout})
     Q,P = L.A,L.B