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provide type-inferred length #139

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provide type-inferred length #139

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0b9a40e
provide type-inferred length
bgctw Jun 3, 2022
c998de7
handle special case of top-level flat axis
bgctw Jun 3, 2022
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3 changes: 3 additions & 0 deletions src/axis.jl
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Original file line number Diff line number Diff line change
Expand Up @@ -140,8 +140,11 @@ const NotShapedOrPartitionedAxis = Union{Axis{IdxMap}, FlatAxis, NullAxis} where

Base.merge(axs::Axis...) = Axis(merge(indexmap.(axs)...))

# TODO: broken for FlatAxis
Base.firstindex(ax::AbstractAxis) = first(viewindex(first(indexmap(ax))))
Base.lastindex(ax::AbstractAxis) = last(viewindex(last(indexmap(ax))))
Base.length(ax::AbstractAxis) = lastindex(ax) - firstindex(ax) + 1
Base.length(ax::NullorFlatAxis) = error("NullorFlatAxis has no length")

Base.keys(ax::AbstractAxis) = keys(indexmap(ax))

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13 changes: 13 additions & 0 deletions src/componentarray.jl
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Expand Up @@ -235,6 +235,19 @@ last_index(x) = last(x)
last_index(x::ViewAxis) = last_index(viewindex(x))
last_index(x::AbstractAxis) = last_index(last(indexmap(x)))

# length information is in Axis, use it to make SVector creation type stable
@inline _hasNullOrFlatAxis(ca) = any(map(ax -> ax isa NullorFlatAxis, getaxes(ca)))
function Base.length(ca::ComponentArray)
# vca2 = vcat(ca2', ca2') #has not length - is it a valid ComponentVector
# or rather a Vector<ComponentVector>
_hasNullOrFlatAxis(ca) && return(length(getdata(ca)))
prod(length.(getaxes(ca)))
end
function Base.size(ca::ComponentArray)
_hasNullOrFlatAxis(ca) && return(size(getdata(ca)))
map(length, getaxes(ca))
end

# Reduce singleton dimensions
remove_nulls() = ()
remove_nulls(x1, args...) = (x1, remove_nulls(args...)...)
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8 changes: 8 additions & 0 deletions test/runtests.jl
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Expand Up @@ -598,6 +598,14 @@ end
@test convert(Cholesky{Float32,Matrix{Float32}}, chol).factors isa Matrix{Float32}
end

@testset "length typestable" begin
# function boundary, so that cv is type-inferred
test_create_svector = (cv) -> SVector{length(cv)}(cv)
@inferred test_create_svector(ComponentVector(a=1:3));
test_create_smatrix = (cmat) -> SMatrix{size(cmat)...}(cmat)
@test (@inferred test_create_smatrix(cmat)) isa SMatrix
end;

@testset "Autodiff" begin
include("autodiff_tests.jl")
end