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2 changes: 1 addition & 1 deletion Project.toml
Original file line number Diff line number Diff line change
@@ -1,7 +1,7 @@
name = "BlockTensorKit"
uuid = "5f87ffc2-9cf1-4a46-8172-465d160bd8cd"
authors = ["Lukas Devos <[email protected]> and contributors"]
version = "0.1.14"
version = "0.2.0"

[deps]
BlockArrays = "8e7c35d0-a365-5155-bbbb-fb81a777f24e"
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22 changes: 17 additions & 5 deletions src/vectorspaces/sumspace.jl
Original file line number Diff line number Diff line change
Expand Up @@ -5,10 +5,20 @@ A (lazy) direct sum of elementary vector spaces of type `S`.
"""
struct SumSpace{S <: ElementarySpace} <: ElementarySpace
spaces::Vector{S}
dual::Bool
function SumSpace{S}(spaces::Vector{S}, dual::Bool) where {S}
allequal(==(dual) ∘ isdual, spaces) || throw(ArgumentError("Invalid mix of dual flags"))
return new{S}(spaces, dual)
end
end

SumSpace(V::S, spaces::S...) where {S <: ElementarySpace} = SumSpace(collect((V, spaces...)))
SumSpace{S}() where {S} = SumSpace(S[])
function SumSpace(V::S, spaces::S...; dual::Bool = isdual(V)) where {S <: ElementarySpace}
return SumSpace(collect((V, spaces...)); dual)
end
function SumSpace(spaces::Vector{S}; dual::Bool = isempty(spaces) ? false : isdual(first(spaces))) where {S}
return SumSpace{S}(spaces, dual)
end
SumSpace{S}(; dual::Bool = false) where {S} = SumSpace{S}(S[], dual)

# Convenience aliases
const ProductSumSpace{S, N} = ProductSpace{SumSpace{S}, N}
Expand Down Expand Up @@ -68,10 +78,12 @@ TensorKit.dims(S::SumSpace) = map(dim, S.spaces)
TensorKit.dim(S::SumSpace, n::Int) = dim(S.spaces[n])
TensorKit.dim(S::SumSpace) = sum(dims(S))

TensorKit.isdual(S::SumSpace) = isdual(first(S.spaces))
TensorKit.dual(S::SumSpace) = SumSpace(map(dual, S.spaces))
TensorKit.isdual(S::SumSpace) = S.dual
TensorKit.dual(S::SumSpace{CartesianSpace}) = SumSpace(map(dual, S.spaces); dual = false)
TensorKit.dual(S::SumSpace) = SumSpace(map(dual, S.spaces); dual = !isdual(S))
Base.conj(S::SumSpace) = dual(S)
TensorKit.flip(S::SumSpace) = SumSpace(map(flip, S.spaces))
TensorKit.flip(S::SumSpace{CartesianSpace}) = SumSpace(map(flip, S.spaces); dual = false)
TensorKit.flip(S::SumSpace) = SumSpace(map(flip, S.spaces); dual = isdual(S))

function TensorKit.hassector(S::SumSpace, s::Sector)
return mapreduce(v -> hassector(v, s), |, S.spaces; init = false)
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