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417 lines (381 loc) · 15.7 KB
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using FillArrays: Zeros
using SparseArraysBase: Unstored, unstored
diaglength_from_shape(sz::Tuple{Integer, Vararg{Integer}}) = minimum(sz)
function diaglength_from_shape(
sz::Tuple{AbstractUnitRange{<:Integer}, Vararg{AbstractUnitRange{<:Integer}}}
)
return minimum(length, sz)
end
diaglength_from_shape(sz::Tuple{}) = 1
struct DiagonalArray{T, N, D <: AbstractVector{T}, U <: AbstractArray{T, N}} <:
AbstractDiagonalArray{T, N}
diag::D
unstored::U
function DiagonalArray{T, N, D, U}(
diag::AbstractVector, unstored::Unstored
) where {T, N, D <: AbstractVector{T}, U <: AbstractArray{T, N}}
length(diag) == diaglength_from_shape(size(unstored)) ||
throw(ArgumentError("Length of diagonals doesn't match dimensions"))
return new{T, N, D, U}(diag, parent(unstored))
end
end
SA.unstored(a::DiagonalArray) = a.unstored
Base.size(a::DiagonalArray) = size(unstored(a))
Base.axes(a::DiagonalArray) = axes(unstored(a))
function DiagonalArray{T, N, D}(
diag::D, unstored::Unstored{T, N, U}
) where {T, N, D <: AbstractVector{T}, U <: AbstractArray{T, N}}
return DiagonalArray{T, N, D, U}(diag, unstored)
end
function DiagonalArray{T, N}(
diag::D, unstored::Unstored{T, N}
) where {T, N, D <: AbstractVector{T}}
return DiagonalArray{T, N, D}(diag, unstored)
end
function DiagonalArray{T}(diag::AbstractVector{T}, unstored::Unstored{T, N}) where {T, N}
return DiagonalArray{T, N}(diag, unstored)
end
function DiagonalArray(diag::AbstractVector{T}, unstored::Unstored{T}) where {T}
return DiagonalArray{T}(diag, unstored)
end
function DiagonalArray(::UndefInitializer, unstored::Unstored)
return DiagonalArray(
Vector{eltype(unstored)}(undef, diaglength_from_shape(size(unstored))), unstored
)
end
# Indicate we will construct an array just from the shape,
# for example for a Base.OneTo or FillArrays.Ones or Zeros.
# All the elements should be uniquely defined by the input axes.
struct ShapeInitializer end
# This is used to create custom constructors for arrays,
# in this case a generic constructor of a vector from a length.
function construct(vect::Type{<:AbstractVector}, ::ShapeInitializer, len::Integer)
if applicable(vect, len)
return vect(len)
elseif applicable(vect, (Base.OneTo(len),))
return vect((Base.OneTo(len),))
else
error(lazy"Can't construct $(vect) from length.")
end
end
# This helps to support diagonals where the elements are known
# from the types, for example diagonals that are `Zeros` and `Ones`.
function DiagonalArray{T, N, D, U}(
init::ShapeInitializer, unstored::Unstored{T, N, U}
) where {T, N, D <: AbstractVector{T}, U <: AbstractArray{T, N}}
return DiagonalArray{T, N, D, U}(
construct(D, init, diaglength_from_shape(axes(unstored))), unstored
)
end
function DiagonalArray{T, N, D}(
init::ShapeInitializer, unstored::Unstored{T, N, U}
) where {T, N, D <: AbstractVector{T}, U <: AbstractArray{T, N}}
return DiagonalArray{T, N, D, U}(init, unstored)
end
# This helps to support diagonals where the elements are known
# from the types, for example diagonals that are `Zeros` and `Ones`.
# These versions use the default unstored type `Zeros{T,N}`.
function DiagonalArray{T, N, D, U}(
init::ShapeInitializer, ax::Tuple{Vararg{AbstractUnitRange{<:Integer}}}
) where {T, N, D <: AbstractVector{T}, U <: AbstractArray{T, N}}
return DiagonalArray{T, N, D, U}(init, Unstored(U(ax)))
end
function DiagonalArray{T, N, D}(
init::ShapeInitializer, ax::Tuple{Vararg{AbstractUnitRange{<:Integer}}}
) where {T, N, D <: AbstractVector{T}}
return DiagonalArray{T, N, D}(init, Unstored(Zeros{T, N}(ax)))
end
function DiagonalArray{T, N, D, U}(
init::ShapeInitializer, ax::AbstractUnitRange{<:Integer}...
) where {T, N, D <: AbstractVector{T}, U <: AbstractArray{T, N}}
return DiagonalArray{T, N, D, U}(init, ax)
end
function DiagonalArray{T, N, D}(
init::ShapeInitializer, ax::AbstractUnitRange{<:Integer}...
) where {T, N, D <: AbstractVector{T}}
return DiagonalArray{T, N, D}(init, ax)
end
function DiagonalArray{T, N, D, U}(
init::ShapeInitializer, sz::Tuple{Integer, Vararg{Integer}}
) where {T, N, D <: AbstractVector{T}, U <: AbstractArray{T, N}}
return DiagonalArray{T, N, D, U}(init, Base.OneTo.(sz))
end
function DiagonalArray{T, N, D}(
init::ShapeInitializer, sz::Tuple{Integer, Vararg{Integer}}
) where {T, N, D <: AbstractVector{T}}
return DiagonalArray{T, N, D}(init, Base.OneTo.(sz))
end
function DiagonalArray{T, N, D, U}(
init::ShapeInitializer, sz1::Integer, sz_rest::Integer...
) where {T, N, D <: AbstractVector{T}, U <: AbstractArray{T, N}}
return DiagonalArray{T, N, D, U}(init, (sz1, sz_rest...))
end
function DiagonalArray{T, N, D}(
init::ShapeInitializer, sz1::Integer, sz_rest::Integer...
) where {T, N, D <: AbstractVector{T}}
return DiagonalArray{T, N, D}(init, (sz1, sz_rest...))
end
# Constructor from diagonal entries accepting axes.
function DiagonalArray{T, N}(
diag::AbstractVector,
ax::Tuple{AbstractUnitRange{<:Integer}, Vararg{AbstractUnitRange{<:Integer}}},
) where {T, N}
N == length(ax) || throw(ArgumentError("Wrong number of axes"))
return DiagonalArray(convert(AbstractVector{T}, diag), Unstored(Zeros{T}(ax)))
end
function DiagonalArray{T, N}(
diag::AbstractVector,
ax1::AbstractUnitRange{<:Integer},
axs::AbstractUnitRange{<:Integer}...,
) where {T, N}
return DiagonalArray{T, N}(diag, (ax1, axs...))
end
function DiagonalArray{T}(
diag::AbstractVector,
ax::Tuple{AbstractUnitRange{<:Integer}, Vararg{AbstractUnitRange{<:Integer}}},
) where {T}
return DiagonalArray{T, length(ax)}(diag, ax)
end
function DiagonalArray{T}(
diag::AbstractVector,
ax1::AbstractUnitRange{<:Integer},
axs::AbstractUnitRange{<:Integer}...,
) where {T}
return DiagonalArray{T}(diag, (ax1, axs...))
end
function DiagonalArray(
diag::AbstractVector{T},
ax::Tuple{AbstractUnitRange{<:Integer}, Vararg{AbstractUnitRange{<:Integer}}},
) where {T}
return DiagonalArray{T, length(ax)}(diag, ax)
end
function DiagonalArray(
diag::AbstractVector,
ax1::AbstractUnitRange{<:Integer},
axs::AbstractUnitRange{<:Integer}...,
)
return DiagonalArray(diag, (ax1, axs...))
end
# undef constructors accepting axes.
function DiagonalArray{T, N}(
::UndefInitializer,
ax::Tuple{AbstractUnitRange{<:Integer}, Vararg{AbstractUnitRange{<:Integer}}},
) where {T, N}
return DiagonalArray{T, N}(Vector{T}(undef, minimum(length, ax)), ax)
end
function DiagonalArray{T, N}(
::UndefInitializer,
ax1::AbstractUnitRange{<:Integer},
axs::AbstractUnitRange{<:Integer}...,
) where {T, N}
return DiagonalArray{T, N}(undef, (ax1, axs...))
end
function DiagonalArray{T}(
::UndefInitializer,
ax::Tuple{AbstractUnitRange{<:Integer}, Vararg{AbstractUnitRange{<:Integer}}},
) where {T}
return DiagonalArray{T, length(ax)}(undef, ax)
end
function DiagonalArray{T}(
::UndefInitializer,
ax1::AbstractUnitRange{<:Integer},
axs::AbstractUnitRange{<:Integer}...,
) where {T}
return DiagonalArray{T}(undef, (ax1, axs...))
end
function DiagonalArray{T, N}(diag::AbstractVector, dims::Dims{N}) where {T, N}
return DiagonalArray(convert(AbstractVector{T}, diag), Unstored(Zeros{T}(dims)))
end
function DiagonalArray{T, N}(diag::AbstractVector, dims::Vararg{Int, N}) where {T, N}
return DiagonalArray{T, N}(diag, dims)
end
function DiagonalArray{T}(diag::AbstractVector, dims::Dims{N}) where {T, N}
return DiagonalArray{T, N}(diag, dims)
end
function DiagonalArray{T}(diag::AbstractVector, dims::Vararg{Int, N}) where {T, N}
return DiagonalArray{T, N}(diag, dims)
end
function DiagonalArray{<:Any, N}(diag::AbstractVector{T}, dims::Dims{N}) where {T, N}
return DiagonalArray{T, N}(diag, dims)
end
function DiagonalArray{<:Any, N}(diag::AbstractVector{T}, dims::Vararg{Int, N}) where {T, N}
return DiagonalArray{T, N}(diag, dims)
end
function DiagonalArray{<:Any, N}(
diag::AbstractVector{T},
ax::Tuple{AbstractUnitRange{<:Integer}, Vararg{AbstractUnitRange{<:Integer}}},
) where {T, N}
return DiagonalArray{T, N}(diag, ax)
end
function DiagonalArray(diag::AbstractVector{T}, dims::Dims{N}) where {T, N}
return DiagonalArray{T, N}(diag, dims)
end
function DiagonalArray(diag::AbstractVector{T}, dims::Vararg{Int, N}) where {T, N}
return DiagonalArray{T, N}(diag, dims)
end
# Infer size from diagonal
function DiagonalArray{T, N}(diag::AbstractVector) where {T, N}
return DiagonalArray{T, N}(diag, ntuple(Returns(length(diag)), N))
end
function DiagonalArray{<:Any, N}(diag::AbstractVector{T}) where {T, N}
return DiagonalArray{T, N}(diag)
end
# undef
function DiagonalArray{T, N}(::UndefInitializer, dims::Dims{N}) where {T, N}
return DiagonalArray{T, N}(Vector{T}(undef, diaglength_from_shape(dims)), dims)
end
function DiagonalArray{T, N}(::UndefInitializer, dims::Vararg{Int, N}) where {T, N}
return DiagonalArray{T, N}(undef, dims)
end
function DiagonalArray{T}(::UndefInitializer, dims::Dims{N}) where {T, N}
return DiagonalArray{T, N}(undef, dims)
end
function DiagonalArray{T}(::UndefInitializer, dims::Vararg{Int, N}) where {T, N}
return DiagonalArray{T, N}(undef, dims)
end
# Axes version
function DiagonalArray{T}(
::UndefInitializer, axes::Tuple{Base.OneTo{Int}, Vararg{Base.OneTo{Int}}}
) where {T}
return DiagonalArray{T, length(axes)}(undef, length.(axes))
end
function Base.similar(a::DiagonalArray, unstored::Unstored)
return DiagonalArray(undef, unstored)
end
# These definitions are helpful for immutable diagonals
# such as FillArrays.
for f in [:complex, :copy, :imag, :real]
@eval begin
Base.$f(a::DiagonalArray) = DiagonalArray($f(diagview(a)), axes(a))
end
end
# DiagonalArrays interface.
diagview(a::DiagonalArray) = a.diag
# Special case for permutedims that is friendlier for immutable storage.
function Base.permutedims(a::DiagonalArray, perm)
((ndims(a) == length(perm)) && isperm(perm)) ||
throw(ArgumentError("Not a valid permutation"))
ax_perm = ntuple(d -> axes(a)[perm[d]], ndims(a))
# Unlike `permutedims(::Diagonal, perm)`, we copy here.
return DiagonalArray(copy(diagview(a)), ax_perm)
end
using FunctionImplementations: FunctionImplementations
function FunctionImplementations.permuteddims(a::DiagonalArray, perm)
((ndims(a) == length(perm)) && isperm(perm)) ||
throw(ArgumentError("Not a valid permutation"))
ax_perm = ntuple(d -> axes(a)[perm[d]], ndims(a))
# Unlike `permutedims(::Diagonal, perm)`, we copy here.
return DiagonalArray(diagview(a), ax_perm)
end
# Scalar indexing.
one_based_range(r) = false
one_based_range(r::Base.OneTo) = true
one_based_range(r::Base.Slice) = true
function _diag_axes(a::DiagonalArray, I...)
return map(ntuple(identity, ndims(a))) do d
return Base.axes1(axes(a, d)[I[d]])
end
end
# A view that preserves the diagonal structure.
function _view_diag(a::DiagonalArray, I...)
ax = _diag_axes(a, I...)
return DiagonalArray(view(diagview(a), Base.OneTo(minimum(length, I))), ax)
end
function _view_diag(a::DiagonalArray, I1::Base.Slice, Irest::Base.Slice...)
ax = _diag_axes(a, I1, Irest...)
return DiagonalArray(view(diagview(a), :), ax)
end
# A slice that preserves the diagonal structure.
function _getindex_diag(a::DiagonalArray, I...)
ax = _diag_axes(a, I...)
return DiagonalArray(diagview(a)[Base.OneTo(minimum(length, I))], ax)
end
function _getindex_diag(a::DiagonalArray, I1::Base.Slice, Irest::Base.Slice...)
ax = _diag_axes(a, I1, Irest...)
return DiagonalArray(diagview(a)[:], ax)
end
function Base.view(a::DiagonalArray, I...)
I′ = to_indices(a, I)
return if all(one_based_range, I′)
_view_diag(a, I′...)
else
invoke(view, Tuple{AbstractArray, Vararg}, a, I′...)
end
end
using FunctionImplementations: style
using SparseArraysBase: sparse_style
function Base.getindex(a::DiagonalArray, I::Int...)
return sparse_style(getindex)(a, I...)
end
function Base.getindex(a::DiagonalArray, I::DiagIndex)
return getdiagindex(a, index(I))
end
function Base.getindex(a::DiagonalArray, I::DiagIndices)
# TODO: Should this be a view?
return @view diagview(a)[indices(I)]
end
function Base.getindex(a::DiagonalArray, I...)
I′ = to_indices(a, I)
return if all(i -> i isa Real, I′)
# Catch scalar indexing case.
return style(a)(getindex)(a, I...)
elseif all(one_based_range, I′)
_getindex_diag(a, I′...)
else
copy(view(a, I′...))
end
end
# Define in order to preserve immutable diagonals such as FillArrays.
function DiagonalArray{T, N}(a::DiagonalArray{T, N}) where {T, N}
# TODO: Should this copy? This matches the design of `LinearAlgebra.Diagonal`:
# https://github.com/JuliaLang/LinearAlgebra.jl/blob/release-1.12/src/diagonal.jl#L110-L112
return a
end
function DiagonalArray{T, N}(a::DiagonalArray{<:Any, N}) where {T, N}
return DiagonalArray{T, N}(diagview(a))
end
function DiagonalArray{T}(a::DiagonalArray) where {T}
return DiagonalArray{T, ndims(a)}(a)
end
function DiagonalArray(a::DiagonalArray)
return DiagonalArray{eltype(a), ndims(a)}(a)
end
function Base.AbstractArray{T, N}(a::DiagonalArray{<:Any, N}) where {T, N}
return DiagonalArray{T, N}(a)
end
# TODO: These definitions work around this issue:
# https://github.com/JuliaArrays/FillArrays.jl/issues/416
# when the diagonal is a FillArrays.Ones or Zeros.
using Base.Broadcast: broadcast, broadcasted
using FillArrays: AbstractFill, Ones, Zeros
_broadcasted(f::F, a::AbstractArray) where {F} = broadcasted(f, a)
_broadcasted(::typeof(identity), a::Ones) = a
_broadcasted(::typeof(identity), a::Zeros) = a
_broadcasted(::typeof(complex), a::Ones) = Ones{complex(eltype(a))}(axes(a))
_broadcasted(::typeof(complex), a::Zeros) = Zeros{complex(eltype(a))}(axes(a))
_broadcasted(elt::Type, a::Ones) = Ones{elt}(axes(a))
_broadcasted(elt::Type, a::Zeros) = Zeros{elt}(axes(a))
_broadcasted(::typeof(inv), a::Ones) = _broadcasted(typeof(inv(oneunit(eltype(a)))), a)
using LinearAlgebra: pinv
_broadcasted(::typeof(pinv), a::Ones) = _broadcasted(typeof(inv(oneunit(eltype(a)))), a)
_broadcasted(::typeof(pinv), a::Zeros) = _broadcasted(typeof(inv(zero(eltype(a)))), a)
_broadcasted(::typeof(sqrt), a::Ones) = _broadcasted(typeof(sqrt(one(eltype(a)))), a)
_broadcasted(::typeof(sqrt), a::Zeros) = _broadcasted(typeof(sqrt(zero(eltype(a)))), a)
_broadcasted(::typeof(cbrt), a::Ones) = _broadcasted(typeof(cbrt(one(eltype(a)))), a)
_broadcasted(::typeof(cbrt), a::Zeros) = _broadcasted(typeof(cbrt(zero(eltype(a)))), a)
_broadcasted(::typeof(exp), a::Zeros) = Ones{typeof(exp(zero(eltype(a))))}(axes(a))
_broadcasted(::typeof(cis), a::Zeros) = Ones{typeof(cis(zero(eltype(a))))}(axes(a))
_broadcasted(::typeof(log), a::Ones) = Zeros{typeof(log(one(eltype(a))))}(axes(a))
_broadcasted(::typeof(cos), a::Zeros) = Ones{typeof(cos(zero(eltype(a))))}(axes(a))
_broadcasted(::typeof(sin), a::Zeros) = _broadcasted(typeof(sin(zero(eltype(a)))), a)
_broadcasted(::typeof(tan), a::Zeros) = _broadcasted(typeof(tan(zero(eltype(a)))), a)
_broadcasted(::typeof(sec), a::Zeros) = Ones{typeof(sec(zero(eltype(a))))}(axes(a))
_broadcasted(::typeof(cosh), a::Zeros) = Ones{typeof(cosh(zero(eltype(a))))}(axes(a))
# Eager version of `_broadcasted`.
_broadcast(f::F, a::AbstractArray) where {F} = copy(_broadcasted(f, a))
function Base.Broadcast.broadcasted(
::DiagonalArrayStyle{N}, f::F, a::DiagonalArray{T, N, Diag}
) where {F, T, N, Diag <: AbstractFill{T}}
# TODO: Check that `f` preserves zeros?
return DiagonalArray(_broadcasted(f, diagview(a)), axes(a))
end