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implemented Base.unaliascopy for mappedarrays #30

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implemented Base.unaliascopy for mappedarrays #30

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67710ff
implemented Base.unaliascopy for mappedarrays
m-wells Feb 3, 2020
43af4e6
Base.unaliascopy tests
m-wells Feb 3, 2020
8fa8d7d
fixed multimapped Base.unaliascopy
m-wells Feb 3, 2020
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5 changes: 5 additions & 0 deletions src/MappedArrays.jl
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Original file line number Diff line number Diff line change
Expand Up @@ -258,6 +258,11 @@ end
eltypes(A::AbstractArray) = Tuple{eltype(A)}
@Base.pure eltypes(A::Tuple{Vararg{<:AbstractArray}}) = Tuple{(eltype.(A))...}

Base.unaliascopy(x::ReadonlyMappedArray) = mappedarray(x.f, Base.unaliascopy(x.data))
Base.unaliascopy(x::MappedArray) = mappedarray(x.f, x.finv, Base.unaliascopy(x.data))
Base.unaliascopy(x::ReadonlyMultiMappedArray) = mappedarray(x.f, Base.unaliascopy.(x.data)...)
Base.unaliascopy(x::MultiMappedArray) = mappedarray(x.f, x.finv, Base.unaliascopy.(x.data)...)

## Deprecations
@deprecate mappedarray(f_finv::Tuple{Any,Any}, args::AbstractArray...) mappedarray(f_finv[1], f_finv[2], args...)

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15 changes: 15 additions & 0 deletions test/runtests.jl
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Expand Up @@ -22,6 +22,9 @@ using FixedPointNumbers, OffsetArrays, ColorTypes
@test isa(eachindex(b), AbstractUnitRange)
b = mappedarray(sqrt, s)
@test isa(eachindex(b), CartesianIndices)
c = Base.unaliascopy(b)
@test c == b
@test c !== b
end

@testset "MappedArray" begin
Expand All @@ -43,6 +46,10 @@ end
c = @inferred(mappedarray(sqrt, x->x*x, s))
@test isa(eachindex(c), CartesianIndices)

d = Base.unaliascopy(c)
@test c == d
@test c !== d

sb = similar(b)
@test isa(sb, Array{Float64})
@test size(sb) == size(b)
Expand Down Expand Up @@ -106,6 +113,10 @@ end
@test M == a + b
@test @inferred(M[1]) === 11.0f0
@test @inferred(M[CartesianIndex(1, 1)]) === 11.0f0

d = Base.unaliascopy(b)
@test d == b
@test d !== b

c = view(reshape(1:9, 3, 3), 1:2, :)
M = @inferred(mappedarray(+, c, b))
Expand Down Expand Up @@ -155,6 +166,10 @@ end
@test M[1,1] === RGB{N0f8}(0.1, 0.8, 0)
@test_throws ErrorException("indexed assignment fails for a reshaped range; consider calling collect") M[1,2] = RGB(0.25, 0.35, 0)

d = Base.unaliascopy(M)
@test d == M
@test d !== M

a = reshape(0.1:0.1:0.6, 3, 2)
@test_throws DimensionMismatch mappedarray(f, finv, a, b, c)
end
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