Add slicing functionality

docs/src/history.md

@@ -1,6 +1,7 @@
 # Version history
 
 ## What's new in v3.7
+
 * `mul!(M::AbstractMatrix, A::LinearMap, s::Number, a, b)` methods are provided, mimicking
   similar methods in `Base.LinearAlgebra`. This version allows for the memory efficient
   implementation of in-place addition and conversion of a `LinearMap` to `Matrix`.
@@ -9,7 +10,6 @@
   conversion, construction, and inplace addition will benefit from this supplied efficient
   implementation. If no specialisation is supplied, a generic fallback is used that is based
   on feeding the canonical basis of unit vectors to the linear map.
-
 * A new map type called `EmbeddedMap` is introduced. It is a wrapper of a "small" `LinearMap`
   (or a suitably converted `AbstractVecOrMat`) embedded into a "larger" zero map. Hence,
   the "small" map acts only on a subset of the coordinates and maps to another subset of
@@ -24,6 +24,31 @@
   * `LinearMap(A::MapOrVecOrMat, dims::Dims{2}; offset::Dims{2})`, where the keyword
     argument `offset` determines the dimension of a virtual upper-left zero block, to which
     `A` gets (virtually) diagonally appended.
+* An often requested new feature has been added: slicing (i.e., non-scalar indexing) any
+  `LinearMap` object via `Base.getindex` overloads. Note, however, that only rather
+  efficient complete slicing operations are implemented: `A[:,j]`, `A[:,J]`, and `A[:,:]`,
+  where `j::Integer` and `J` is either of type `AbstractVector{<:Integer>}` or an
+  `AbstractVector{Bool}` of appropriate length ("logical slicing"). Partial slicing
+  operations such as `A[I,j]` and `A[I,J]` where `I` is as `J` above are disallowed.
+
+  Scalar indexing `A[i::Integer,j::Integer]` as well as other indexing operations that fall
+  back on scalar indexing such as logical indexing by some `AbstractMatrix{Bool}`, or
+  indexing by vectors of (linear or Cartesian) indices are not supported; as an exception,
+  `getindex` calls on wrapped `AbstractVecOrMat`s is forwarded to corresponding `getindex`
+  methods from `Base` and therefore allow any type of usual indexing/slicing.
+  If scalar indexing is really required, consider using `A[:,j][i]` which is as efficient
+  as a reasonable generic implementation for `LinearMap`s can be.
+
+  Furthermore, (predominantly) horizontal slicing operations require the adjoint operation
+  of the `LinearMap` type to be defined, or will fail otherwise. Important note:
+  `LinearMap` objects are meant to model objects that act on vectors efficiently, and are
+  in general *not* backed up by storage-like types like `Array`s. Therefore, slicing of
+  `LinearMap`s is potentially slow, and it may require the (repeated) allocation of
+  standard unit vectors. As a consequence, generic algorithms relying heavily on indexing
+  and/or slicing are likely to run much slower than expected for `AbstractArray`s. To avoid
+  repeated indexing operations which may involve redundant computations, it is strongly
+  recommended to consider `convert`ing `LinearMap`-typed objects to `Matrix` or
+  `SparseMatrixCSC` first, if memory permits.
 
 ## What's new in v3.6
 

src/LinearMaps.jl

@@ -345,6 +345,7 @@ include("fillmap.jl") # linear maps representing constantly filled matrices
 include("embeddedmap.jl") # embedded linear maps
 include("conversion.jl") # conversion of linear maps to matrices
 include("show.jl") # show methods for LinearMap objects
+include("getindex.jl") # getindex functionality
 
 """
     LinearMap(A::LinearMap; kwargs...)::WrappedMap

src/getindex.jl

@@ -0,0 +1,113 @@
+const Indexer = AbstractVector{<:Integer}
+
+Base.IndexStyle(::LinearMap) = IndexCartesian()
+# required in Base.to_indices for [:]-indexing
+Base.eachindex(::IndexLinear, A::LinearMap) = Base.OneTo(length(A))
+Base.lastindex(A::LinearMap) = last(eachindex(IndexLinear(), A))
+Base.firstindex(A::LinearMap) = first(eachindex(IndexLinear(), A))
+
+function Base.checkbounds(A::LinearMap, i, j)
+    Base.checkbounds_indices(Bool, axes(A), (i, j)) || throw(BoundsError(A, (i, j)))
+    nothing
+end
+function Base.checkbounds(A::LinearMap, i)
+    Base.checkindex(Bool, Base.OneTo(length(A)), i) || throw(BoundsError(A, i))
+    nothing
+end
+# checkbounds in indexing via CartesianIndex
+Base.checkbounds(A::LinearMap, i::Union{CartesianIndex{2}, AbstractArray{CartesianIndex{2}}}) =
+    Base.checkbounds_indices(Bool, axes(A), (i,)) || throw(BoundsError(A, i))
+Base.checkbounds(A::LinearMap, I::AbstractMatrix{Bool}) =
+    axes(A) == axes(I) || throw(BoundsError(A, I))
+
+# main entry point
+function Base.getindex(A::LinearMap, I...)
+    @boundscheck checkbounds(A, I...)
+    _getindex(A, Base.to_indices(A, I)...)
+end
+# quick pass forward
+Base.@propagate_inbounds Base.getindex(A::ScaledMap, I...) = A.λ * A.lmap[I...]
+Base.@propagate_inbounds Base.getindex(A::WrappedMap, I...) = A.lmap[I...]
+
+########################
+# linear indexing
+########################
+_getindex(A::LinearMap, _) = error("linear indexing of LinearMaps is not supported")
+
+########################
+# Cartesian indexing
+########################
+_getindex(A::LinearMap, i::Integer, j::Integer) =
+    error("scalar indexing of LinearMaps is not supported, consider using A[:,j][i] instead")
+_getindex(A::LinearMap, I::Indexer, j::Integer) =
+    error("partial vertical slicing of LinearMaps is not supported, consider using A[:,j][I] instead")
+_getindex(A::LinearMap, ::Base.Slice, j::Integer) = A*unitvec(A, 2, j)
+_getindex(A::LinearMap, i::Integer, J::Indexer) =
+    error("partial horizontal slicing of LinearMaps is not supported, consider using A[i,:][J] instead")
+function _getindex(A::LinearMap, i::Integer, J::Base.Slice)
+    try
+        # requires adjoint action to be defined
+        return vec(unitvec(A, 1, i)'A)
+    catch
+        error("horizontal slicing A[$i,:] requires the adjoint of $(typeof(A)) to be defined")
+    end
+end
+_getindex(A::LinearMap, I::Indexer, J::Indexer) =
+    error("partial two-dimensional slicing of LinearMaps is not supported, consider using A[:,J][I] or A[I,:][J] instead")
+_getindex(A::LinearMap, ::Base.Slice, ::Base.Slice) = convert(AbstractMatrix, A)
+_getindex(A::LinearMap, I::Base.Slice, J::Indexer) = __getindex(A, I, J)
+_getindex(A::LinearMap, I::Indexer, J::Base.Slice) = __getindex(A, I, J)
+function __getindex(A, I, J)
+    dest = zeros(eltype(A), Base.index_shape(I, J))
+    # choose whichever requires less map applications
+    if length(I) <= length(J)
+        try
+            # requires adjoint action to be defined
+            _fillbyrows!(dest, A, I, J)
+        catch
+            error("wide slicing A[I,J] with length(I) <= length(J) requires the adjoint of $(typeof(A)) to be defined")
+        end
+    else
+        _fillbycols!(dest, A, I, J)
+    end
+    return dest
+end
+
+# helpers
+function unitvec(A, dim, i)
+    x = zeros(eltype(A), size(A, dim))
+    @inbounds x[i] = one(eltype(A))
+    return x
+end
+
+function _fillbyrows!(dest, A, I, J)
+    x = zeros(eltype(A), size(A, 1))
+    temp = similar(x, eltype(A), size(A, 2))
+    @views @inbounds for (di, i) in zip(eachrow(dest), I)
+        x[i] = one(eltype(A))
+        _unsafe_mul!(temp, A', x)
+        di .= adjoint.(temp[J])
+        x[i] = zero(eltype(A))
+    end
+    return dest
+end
+function _fillbycols!(dest, A, I::Indexer, J)
+    x = zeros(eltype(A), size(A, 2))
+    temp = similar(x, eltype(A), size(A, 1))
+    @inbounds for (ind, j) in enumerate(J)
+        x[j] = one(eltype(A))
+        _unsafe_mul!(temp, A, x)
+        dest[:,ind] .= temp[I]
+        x[j] = zero(eltype(A))
+    end
+    return dest
+end
+function _fillbycols!(dest, A, ::Base.Slice, J)
+    x = zeros(eltype(A), size(A, 2))
+    @inbounds for (ind, j) in enumerate(J)
+        x[j] = one(eltype(A))
+        _unsafe_mul!(selectdim(dest, 2, ind), A, x)
+        x[j] = zero(eltype(A))
+    end
+    return dest
+end

test/getindex.jl

@@ -0,0 +1,98 @@
+using LinearAlgebra, LinearMaps, Test
+using LinearMaps: VecOrMatMap, ScaledMap
+# using BenchmarkTools
+
+function test_getindex(A::LinearMap, M::AbstractMatrix)
+    @assert size(A) == size(M)
+    mask = rand(Bool, size(A))
+    imask = rand(Bool, size(A, 1))
+    jmask = rand(Bool, size(A, 2))
+    @test A[1,:] == M[1,:]
+    @test A[:,1] == M[:,1]
+    @test A[1:4,:] == M[1:4,:]
+    @test A[:,1:4] == M[:,1:4]
+    @test A[[2,1],:] == M[[2,1],:]
+    @test A[:,[2,1]] == M[:,[2,1]]
+    @test A[:,:] == M
+    @test (lastindex(A, 1), lastindex(A, 2)) == size(A)
+    if A isa VecOrMatMap || A isa ScaledMap{<:Any,<:Any,<:VecOrMatMap}
+        @test A[:] == M[:]
+        @test A[1,1] == M[1,1]
+        @test A[1,1:3] == M[1,1:3]
+        @test A[1:3,1] == M[1:3,1]
+        @test A[2:end,1] == M[2:end,1]
+        @test A[1:2,1:3] == M[1:2,1:3]
+        @test A[[2,1],1:3] == M[[2,1],1:3]
+        @test A[7] == M[7]
+        @test A[3:7] == M[3:7]
+        @test A[mask] == M[mask]
+        @test A[findall(mask)] == M[findall(mask)]
+        @test A[CartesianIndex(1,1)] == M[CartesianIndex(1,1)]
+        @test A[imask, 1] == M[imask, 1]
+        @test A[1, jmask] == M[1, jmask]
+        @test A[imask, jmask] == M[imask, jmask]
+    else
+        @test_throws ErrorException A[:]
+        @test_throws ErrorException A[1,1]
+        @test_throws ErrorException A[1,1:3]
+        @test_throws ErrorException A[1:3,1]
+        @test_throws ErrorException A[2:end,1]
+        @test_throws ErrorException A[1:2,1:3]
+        @test_throws ErrorException A[[2,1],1:3]
+        @test_throws ErrorException A[7]
+        @test_throws ErrorException A[3:7]
+        @test_throws ErrorException A[mask]
+        @test_throws ErrorException A[findall(mask)]
+        @test_throws ErrorException A[CartesianIndex(1,1)]
+        @test_throws ErrorException A[imask, 1]
+        @test_throws ErrorException A[1, jmask]
+        @test_throws ErrorException A[imask, jmask]
+    end
+    @test_throws BoundsError A[lastindex(A,1)+1,1]
+    @test_throws BoundsError A[1,lastindex(A,2)+1]
+    @test_throws BoundsError A[2,1:lastindex(A,2)+1]
+    @test_throws BoundsError A[1:lastindex(A,1)+1,2]
+    @test_throws BoundsError A[ones(Bool, 2, 2)]
+    @test_throws BoundsError A[[true, true], 1]
+    @test_throws BoundsError A[1, [true, true]]
+    return nothing
+end
+
+@testset "getindex" begin
+    M = rand(4,6)
+    A = LinearMap(M)
+    test_getindex(A, M)
+    test_getindex(2A, 2M)
+    # @btime getindex($M, i) setup=(i = rand(1:24));
+    # @btime getindex($A, i) setup=(i = rand(1:24));
+    # @btime (getindex($M, i, j)) setup=(i = rand(1:4); j = rand(1:6));
+    # @btime (getindex($A, i, j)) setup=(i = rand(1:4); j = rand(1:6));
+
+    struct TwoMap <: LinearMaps.LinearMap{Float64} end
+    Base.size(::TwoMap) = (5,5)
+    LinearMaps._unsafe_mul!(y::AbstractVector, ::TwoMap, x::AbstractVector) = fill!(y, 2.0*sum(x))
+    T = TwoMap()
+    @test_throws ErrorException T[1,:]
+
+    Base.transpose(A::TwoMap) = A
+    test_getindex(TwoMap(), fill(2.0, size(T)))
+
+    MA = rand(ComplexF64, 5, 5)
+    FA = LinearMap{ComplexF64}((y, x) -> mul!(y, MA, x), (y, x) -> mul!(y, MA', x), 5, 5)
+    F = LinearMap{ComplexF64}(x -> MA*x, y -> MA'y, 5, 5)
+    test_getindex(FA, MA)
+    test_getindex([FA FA], [MA MA])
+    test_getindex([FA; FA], [MA; MA])
+    test_getindex(F, MA)
+    test_getindex(3FA, 3MA)
+    test_getindex(FA + FA, 2MA)
+    test_getindex(transpose(FA), transpose(MA))
+    test_getindex(transpose(3FA), transpose(3MA))
+    test_getindex(3transpose(FA), transpose(3MA))
+    test_getindex(adjoint(FA), adjoint(MA))
+    test_getindex(adjoint(3FA), adjoint(3MA))
+    test_getindex(3adjoint(FA), adjoint(3MA))
+
+    test_getindex(FillMap(0.5, (5, 5)), fill(0.5, (5, 5)))
+    test_getindex(LinearMap(0.5I, 5), Matrix(0.5I, 5, 5))
+end

test/runtests.jl

@@ -35,3 +35,5 @@ include("fillmap.jl")
 include("nontradaxes.jl")
 
 include("embeddedmap.jl")
+
+include("getindex.jl")