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Improve inference for unique with abstract eltypes #36280

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2 changes: 2 additions & 0 deletions NEWS.md
Original file line number Diff line number Diff line change
Expand Up @@ -48,6 +48,8 @@ Standard library changes
* `view`, `@view`, and `@views` now work on `AbstractString`s, returning a `SubString` when appropriate ([#35879]).
* All `AbstractUnitRange{<:Integer}`s now work with `SubString`, `view`, `@view` and `@views` on strings ([#35879]).
* `sum`, `prod`, `maximum`, and `minimum` now support `init` keyword argument ([#36188], [#35839]).
* `unique(f, itr; seen=Set{T}())` now allows you to declare the container type used for
keeping track of values returned by `f` on elements of `itr` ([#36280]).

#### LinearAlgebra
* New method `LinearAlgebra.issuccess(::CholeskyPivoted)` for checking whether pivoted Cholesky factorization was successful ([#36002]).
Expand Down
44 changes: 31 additions & 13 deletions base/set.jl
Original file line number Diff line number Diff line change
Expand Up @@ -120,19 +120,25 @@ julia> unique(Real[1, 1.0, 2])
```
"""
function unique(itr)
if isa(IteratorEltype(itr), HasEltype)
T = eltype(itr)
out = Vector{T}()
seen = Set{T}()
for x in itr
if !in(x, seen)
push!(seen, x)
push!(out, x)
end
end
return out
end
T = @default_eltype(itr)
out = Vector{T}()
seen = Set{T}()
y = iterate(itr)
y === nothing && return out
y === nothing && return T[]
x, i = y
if !isconcretetype(T) && IteratorEltype(itr) == EltypeUnknown()
S = typeof(x)
return _unique_from(itr, S[x], Set{S}((x,)), i)
end
push!(seen, x)
push!(out, x)
return unique_from(itr, out, seen, i)
S = typeof(x)
R = isconcretetype(T) ? T : S
return _unique_from(itr, R[x], Set{R}((x,)), i)
end

_unique_from(itr, out, seen, i) = unique_from(itr, out, seen, i)
Expand Down Expand Up @@ -175,8 +181,18 @@ julia> unique(x -> x^2, [1, -1, 3, -3, 4])
4
```
"""
function unique(f, C)
function unique(f, C; seen::Union{Nothing,Set}=nothing)
out = Vector{eltype(C)}()
if seen !== nothing
for x in C
y = f(x)
if y seen
push!(out, x)
push!(seen, y)
end
end
return out
end

s = iterate(C)
if s === nothing
Expand Down Expand Up @@ -241,15 +257,17 @@ julia> unique!(iseven, [2, 3, 5, 7, 9])
3
```
"""
function unique!(f, A::AbstractVector)
function unique!(f, A::AbstractVector; seen::Union{Nothing,Set}=nothing)
if length(A) <= 1
return A
end

i = firstindex(A)
x = @inbounds A[i]
y = f(x)
seen = Set{typeof(y)}()
if seen === nothing
seen = Set{typeof(y)}()
end
push!(seen, y)
return _unique!(f, A, seen, i, i+1)
end
Expand Down
22 changes: 13 additions & 9 deletions test/sets.jl
Original file line number Diff line number Diff line change
Expand Up @@ -384,27 +384,30 @@ end
end

@testset "unique" begin
u = unique([1, 1, 2])
u = @inferred(unique([1, 1, 2]))
@test in(1, u)
@test in(2, u)
@test length(u) == 2
@test unique(iseven, [5, 1, 8, 9, 3, 4, 10, 7, 2, 6]) == [5, 8]
@test unique(n -> n % 3, [5, 1, 8, 9, 3, 4, 10, 7, 2, 6]) == [5, 1, 9]
@test @inferred(unique(iseven, [5, 1, 8, 9, 3, 4, 10, 7, 2, 6])) == [5, 8]
@test @inferred(unique(x->x^2, Integer[3, -4, 5, 4])) == Integer[3, -4, 5]
@test @inferred(unique(iseven, Integer[3, -4, 5, 4]; seen=Set{Bool}())) == Integer[3, -4]
@test @inferred(unique(n -> n % 3, [5, 1, 8, 9, 3, 4, 10, 7, 2, 6])) == [5, 1, 9]
end

@testset "issue 20105" begin
@test @inferred(unique(x for x in 1:1)) == [1]
@test unique(x for x in Any[1, 1.0])::Vector{Real} == [1]
@test unique(x for x in Real[1, 1.0])::Vector{Real} == [1]
@test unique(Integer[1, 1, 2])::Vector{Integer} == [1, 2]
@test @inferred(unique(Integer[1, 1, 2]))::Vector{Integer} == [1, 2]
@test unique(x for x in []) isa Vector{Any}
end

@testset "unique!" begin
u = [1,1,3,2,1]
unique!(u)
@inferred(unique!(u))
@test u == [1,3,2]
@test unique!([]) == []
@test unique!(Float64[]) == Float64[]
@test @inferred(unique!([])) == []
@test @inferred(unique!(Float64[])) == Float64[]
u = [1,2,2,3,5,5]
@test unique!(u) === u
@test u == [1,2,3,5]
Expand Down Expand Up @@ -434,8 +437,9 @@ end
u = [1,2,5,1,3,2]
@test unique!(x -> x ^ 2, [1, -1, 3, -3, 5, -5]) == [1, 3, 5]
@test unique!(n -> n % 3, [5, 1, 8, 9, 3, 4, 10, 7, 2, 6]) == [5, 1, 9]
@test unique!(iseven, [2, 3, 5, 7, 9]) == [2, 3]
@test unique!(x -> x % 2 == 0 ? :even : :odd, [1, 2, 3, 4, 2, 2, 1]) == [1, 2]
@test @inferred(unique!(iseven, [2, 3, 5, 7, 9])) == [2, 3]
@test @inferred(unique!(x -> x % 2 == 0 ? :even : :odd, [1, 2, 3, 4, 2, 2, 1])) == [1, 2]
@test @inferred(unique!(x -> x % 2 == 0 ? :even : "odd", [1, 2, 3, 4, 2, 2, 1]; seen=Set{Union{Symbol,String}}())) == [1, 2]
end

@testset "allunique" begin
Expand Down