Remove * overload hacks

Project.toml

@@ -1,6 +1,6 @@
 name = "InfiniteLinearAlgebra"
 uuid = "cde9dba0-b1de-11e9-2c62-0bab9446c55c"
-version = "0.3.0"
+version = "0.3.1"
 
 [deps]
 ArrayLayouts = "4c555306-a7a7-4459-81d9-ec55ddd5c99a"
@@ -16,14 +16,14 @@ MatrixFactorizations = "a3b82374-2e81-5b9e-98ce-41277c0e4c87"
 SemiseparableMatrices = "f8ebbe35-cbfb-4060-bf7f-b10e4670cf57"
 
 [compat]
-ArrayLayouts = "0.2.1"
-BandedMatrices = "0.15.1"
+ArrayLayouts = "0.2.4"
+BandedMatrices = "0.15.3"
 BlockArrays = "0.12"
 BlockBandedMatrices = "0.8"
 FillArrays = "0.8.6"
 InfiniteArrays = "0.7"
-LazyArrays = "0.16.4"
-LazyBandedMatrices = "0.2.5"
+LazyArrays = "0.16.5"
+LazyBandedMatrices = "0.2.6"
 MatrixFactorizations = "0.3.1"
 SemiseparableMatrices = "0.0.1"
 julia = "1.3"

src/InfiniteLinearAlgebra.jl

@@ -4,7 +4,7 @@ using BlockArrays, BlockBandedMatrices, BandedMatrices, LazyArrays, LazyBandedMa
 
 import Base: +, -, *, /, \, ^, OneTo, getindex, promote_op, _unsafe_getindex, print_matrix_row, size, axes,
             AbstractMatrix, AbstractArray, Matrix, Array, Vector, AbstractVector, Slice,
-            show, getproperty, copy, map
+            show, getproperty, copy, map, require_one_based_indexing
 import Base.Broadcast: BroadcastStyle, Broadcasted, broadcasted
 
 import ArrayLayouts: colsupport, rowsupport, triangularlayout, MatLdivVec, triangulardata, TriangularLayout, sublayout, _qr
@@ -49,13 +49,6 @@ function ^(A::BandedMatrix{T,<:Any,<:OneToInf}, p::Integer) where T
     end
 end
 
-if VERSION < v"1.2-"
-    import Base: has_offset_axes
-    require_one_based_indexing(A...) = !has_offset_axes(A...) || throw(ArgumentError("offset arrays are not supported but got an array with index other than 1"))
-else
-    import Base: require_one_based_indexing    
-end             
-
 export Vcat, Fill, ql, ql!, ∞, ContinuousSpectrumError, BlockTridiagonal
 
 include("banded/hessenbergq.jl")
@@ -66,29 +59,6 @@ include("banded/infqltoeplitz.jl")
 include("infql.jl")
 include("infqr.jl")
 
-###
-# temporary work arounds
-###
-
-# Fix ∞ BandedMatrix
-ApplyStyle(::typeof(*), ::Type{<:Diagonal}, ::Type{<:BandedMatrix{<:Any,<:Any,<:OneToInf}}) =
-    LmulStyle()
-ApplyStyle(::typeof(*), ::Type{<:BandedMatrix{<:Any,<:Any,<:OneToInf}}, ::Type{<:Diagonal}) =
-    RmulStyle()    
-ApplyStyle(::typeof(*), ::Type{<:BandedMatrix{<:Any,<:Any,<:OneToInf}}, ::Type{<:BandedMatrix{<:Any,<:Any,<:OneToInf}}) =
-    LazyArrayApplyStyle()
-ApplyStyle(::typeof(*), ::Type{<:AbstractArray}, ::Type{<:BandedMatrix{<:Any,<:Any,<:OneToInf}}) =
-    LazyArrayApplyStyle()
-ApplyStyle(::typeof(*), ::Type{<:BandedMatrix{<:Any,<:Any,<:OneToInf}}, ::Type{<:AbstractArray}) =
-    LazyArrayApplyStyle()
-ApplyStyle(::typeof(*), ::Type{<:Adjoint{<:Any,<:BandedMatrix{<:Any,<:Any,<:OneToInf}}}, ::Type{<:AbstractArray}) =
-    LazyArrayApplyStyle()
-ApplyStyle(::typeof(*), ::Type{<:Transpose{<:Any,<:BandedMatrix{<:Any,<:Any,<:OneToInf}}}, ::Type{<:AbstractArray}) =
-    LazyArrayApplyStyle()
-
-ApplyStyle(::typeof(*), ::Type{<:BandedMatrix{<:Any,<:AbstractFill,<:OneToInf}}, ::Type{<:BandedMatrix{<:Any,<:AbstractFill,<:OneToInf}}) =
-    MulAddStyle()    
-
 #######
 # block broadcasted
 ######

src/banded/infbanded.jl

@@ -354,7 +354,7 @@ _default_banded_broadcast(bc::Broadcasted, ::Tuple{<:OneToInf,<:Any}) = copy(Bro
 # BandedFill * BandedFill
 ###
 
-copy(M::MulAdd{BandedMatrices.BandedColumns{FillLayout},BandedMatrices.BandedColumns{FillLayout},ZerosLayout}) =
+copy(M::MulAdd{BandedColumns{FillLayout},BandedColumns{FillLayout},ZerosLayout}) =
     _bandedfill_mul(M, axes(M.A), axes(M.B))
 
 _bandedfill_mul(M, _, _) = copyto!(similar(M), M)
@@ -368,4 +368,11 @@ function _bandedfill_mul(M::MulAdd, ::Tuple{InfAxes,InfAxes}, ::Tuple{InfAxes,In
     ret = _BandedMatrix(Hcat(Array{typeof(λ)}(undef, l+u+1,u), [1:m-1; Fill(m,l+u-2m+3); m-1:-1:1]*Fill(λ,1,∞)), ∞, l, u)
     mul!(view(ret, 1:l+u,1:u), view(A,1:l+u,1:u+Bl), view(B,1:u+Bl,1:u))
     ret
-end
+end
+
+mulapplystyle(::BandedColumns{FillLayout}, ::PertToeplitzLayout) = LazyArrayApplyStyle()
+mulapplystyle(::PertToeplitzLayout, ::BandedColumns{FillLayout}) = LazyArrayApplyStyle()
+mulapplystyle(::BandedColumns{FillLayout}, ::BandedToeplitzLayout) = LazyArrayApplyStyle()
+mulapplystyle(::BandedToeplitzLayout, ::BandedColumns{FillLayout}) = LazyArrayApplyStyle()
+mulapplystyle(::QLayout, ::BandedToeplitzLayout) = LazyArrayApplyStyle()
+mulapplystyle(::QLayout, ::PertToeplitzLayout) = LazyArrayApplyStyle()

test/runtests.jl

@@ -3,7 +3,7 @@ import InfiniteLinearAlgebra: qltail, toeptail, tailiterate , tailiterate!, tail
                     InfToeplitz, PertToeplitz, TriToeplitz, InfBandedMatrix, 
                     rightasymptotics, QLHessenberg, ConstRows, PertConstRows, BandedToeplitzLayout, PertToeplitzLayout
 import Base: BroadcastStyle
-import BlockArrays: _BlockArray                    
+import BlockArrays: _BlockArray
 import BlockBandedMatrices: isblockbanded, _BlockBandedMatrix
 import MatrixFactorizations: QLPackedQ
 import BandedMatrices: bandeddata, _BandedMatrix, BandedStyle
@@ -16,6 +16,12 @@ import InfiniteArrays: OneToInf
     @test B isa BandedMatrix
     @test B[1:10,1:10] == diagm(-1 => Fill(2,9))
     @test B[1:∞,2:∞] isa BandedMatrix
+
+    A = BandedMatrix(0 => 1:∞, 1=> Fill(2.0,∞), -1 => Fill(3.0,∞))
+    x = [1; 2; zeros(∞)]
+    @test ApplyStyle(*, typeof(A), typeof(x)) isa LazyArrays.MulAddStyle
+    @test A*x isa Vcat
+    @test (A*x)[1:10] == A[1:10,1:10]*x[1:10]
 end
 
 @testset "∞-block arrays" begin
@@ -91,7 +97,7 @@ end
         A = _BandedMatrix(Fill(1,4,∞),∞,1,2)
         @test A*A isa BandedMatrix
         @test (A^2)[1:10,1:10] == (A*A)[1:10,1:10] == (A[1:100,1:100]^2)[1:10,1:10]
-        @test (A^3)[1:10,1:10] == (A*A*A)[1:10,1:10] == (A[1:100,1:100]^3)[1:10,1:10]
+        @test (A^3)[1:10,1:10] == (A*A*A)[1:10,1:10]  == ((A*A)*A)[1:10,1:10]  == (A*(A*A))[1:10,1:10] == (A[1:100,1:100]^3)[1:10,1:10]
     end
 
     @testset "BlockTridiagonal" begin
@@ -152,6 +158,7 @@ end
         C = Diagonal( 2 ./ (1:2:∞))
         @test A*(B*C) isa MulMatrix
         @test bandwidths(A*(B*C)) == (-1,1)
+        @test bandwidths((A*B)*C) == (-1,1)
     end
 
     @testset "Triangle OP recurrences" begin

test/test_infql.jl

@@ -13,6 +13,7 @@ import BandedMatrices: _BandedMatrix
             L = _BandedMatrix(Hcat([e; X[2,2]; X[2,1]], X[2,end:-1:1] * Ones{Float64}(1,∞)), ∞, 2, 0)
             Qn,Ln = ql(A[1:1000,1:1000])
             @test Q[1:10,1:10] ≈ Qn[1:10,1:10]
+            @test Q'A isa MulMatrix
             @test Array((Q'A)[1:10,1:10]) ≈ [(Q'A)[k,j] for k=1:10,j=1:10]
             @test (Q'A)[1:10,1:10] ≈ Ln[1:10,1:10] ≈ L[1:10,1:10]