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src/Functors.jl

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@@ -5,4 +5,260 @@ export @functor, @flexiblefunctor, fmap, fmapstructure, fcollect
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include("functor.jl")
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include("base.jl")
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"""
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Functors.functor(x) = functor(typeof(x), x)
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Returns a tuple containing, first, a `NamedTuple` of the children of `x`
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(typically its fields), and second, a reconstruction funciton.
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This controls the behaviour of [`fmap`](@ref).
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Methods should be added to `functor(::Type{T}, x)` for custom types,
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usually using the macro [@functor](@ref).
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"""
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functor
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"""
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@functor T
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@functor T (x,)
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Adds methods to [`functor`](@ref) allowing recursion into objects of type `T`,
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and reconstruction. Assumes that `T` has a constructor accepting all of its fields,
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which is true unless you have provided an inner constructor which does not.
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By default all fields of `T` are considered [children](@ref);
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this can be restricted be restructed by providing a tuple of field names.
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# Examples
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```jldoctest
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julia> struct Foo; x; y; end
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julia> @functor Foo
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julia> Functors.children(Foo(1,2))
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(x = 1, y = 2)
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julia> _, re = Functors.functor(Foo(1,2));
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julia> re((10, 20))
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Foo(10, 20)
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julia> struct TwoThirds a; b; c; end
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julia> @functor TwoThirds (a, c)
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julia> ch2, re3 = Functors.functor(TwoThirds(10,20,30));
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julia> ch2
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(a = 10, c = 30)
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julia> re3(("ten", "thirty"))
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TwoThirds("ten", 20, "thirty")
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julia> fmap(x -> 10x, TwoThirds(Foo(1,2), Foo(3,4), 56))
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TwoThirds(Foo(10, 20), Foo(3, 4), 560)
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```
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"""
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var"@functor"
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"""
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Functors.isleaf(x)
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Return true if `x` has no [`children`](@ref) according to [`functor`](@ref).
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# Examples
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```jldoctest
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julia> Functors.isleaf(1)
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true
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julia> Functors.isleaf([2, 3, 4])
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true
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julia> Functors.isleaf(["five", [6, 7]])
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false
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julia> Functors.isleaf([])
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false
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julia> Functors.isleaf((8, 9))
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false
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julia> Functors.isleaf(())
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true
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```
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"""
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isleaf
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"""
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Functors.children(x)
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Return the children of `x` as defined by [`functor`](@ref).
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Equivalent to `functor(x)[1]`.
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"""
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children
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"""
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fmap(f, x; exclude = Functors.isleaf, walk = Functors._default_walk)
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A structure and type preserving `map`.
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By default it transforms every leaf node (identified by `exclude`, default [`isleaf`](@ref))
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by applying `f`, and otherwise traverses `x` recursively using [`functor`](@ref).
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# Examples
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```jldoctest
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julia> fmap(string, (x=1, y=(2, 3)))
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(x = "1", y = ("2", "3"))
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julia> nt = (a = [1,2], b = [23, (45,), (x=6//7, y=())], c = [8,9]);
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julia> fmap(println, nt)
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[1, 2]
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23
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45
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6//7
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()
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[8, 9]
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(a = nothing, b = Any[nothing, (nothing,), (x = nothing, y = nothing)], c = nothing)
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julia> fmap(println, nt; exclude = x -> x isa Array)
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[1, 2]
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Any[23, (45,), (x = 6//7, y = ())]
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[8, 9]
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(a = nothing, b = nothing, c = nothing)
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julia> twice = [1, 2];
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julia> fmap(println, (i = twice, ii = 34, iii = [5, 6], iv = (twice, 34), v = 34.0))
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[1, 2]
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34
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[5, 6]
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34.0
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(i = nothing, ii = nothing, iii = nothing, iv = (nothing, nothing), v = nothing)
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```
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If the same node (same according to `===`) appears more than once,
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it will only be handled once, and only be transformed once with `f`.
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Thus the result will also have this relationship.
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By default, `Tuple`s, `NamedTuple`s, and some other container-like types in Base have
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children to recurse into. Arrays of numbers do not.
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To enable recursion into new types, you must provide a method of [`functor`](@ref),
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which can be done using the macro [`@functor`](@ref):
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```jldoctest withfoo
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julia> struct Foo; x; y; end
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julia> @functor Foo
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julia> struct Bar; x; end
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julia> @functor Bar
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julia> m = Foo(Bar([1,2,3]), (4, 5, Bar(Foo(6, 7))));
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julia> fmap(x -> 10x, m)
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Foo(Bar([10, 20, 30]), (40, 50, Bar(Foo(60, 70))))
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julia> fmap(string, m)
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Foo(Bar("[1, 2, 3]"), ("4", "5", Bar(Foo("6", "7"))))
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julia> fmap(string, m, exclude = v -> v isa Bar)
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Foo("Bar([1, 2, 3])", (4, 5, "Bar(Foo(6, 7))"))
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```
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To recurse into custom types without reconstructing them afterwards,
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use [`fmapstructure`](@ref).
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For advanced customization of the traversal behaviour, pass a custom `walk` function of the form `(f', xs) -> ...`.
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This function walks (maps) over `xs` calling the continuation `f'` to continue traversal.
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```jldoctest withfoo
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julia> fmap(x -> 10x, m, walk=(f, x) -> x isa Bar ? x : Functors._default_walk(f, x))
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Foo(Bar([1, 2, 3]), (40, 50, Bar(Foo(6, 7))))
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```
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"""
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fmap
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"""
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fmapstructure(f, x; exclude = isleaf)
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Like [`fmap`](@ref), but doesn't preserve the type of custom structs.
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Instead, it returns a `NamedTuple` (or a `Tuple`, or an array),
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or a nested set of these.
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Useful for when the output must not contain custom structs.
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# Examples
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```jldoctest
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julia> struct Foo; x; y; end
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julia> @functor Foo
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julia> m = Foo([1,2,3], [4, (5, 6), Foo(7, 8)]);
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julia> fmapstructure(x -> 2x, m)
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(x = [2, 4, 6], y = Any[8, (10, 12), (x = 14, y = 16)])
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julia> fmapstructure(println, m)
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[1, 2, 3]
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4
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5
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6
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7
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8
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(x = nothing, y = Any[nothing, (nothing, nothing), (x = nothing, y = nothing)])
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```
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"""
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fmapstructure
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"""
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fcollect(x; exclude = v -> false)
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Traverse `x` by recursing each child of `x` as defined by [`functor`](@ref)
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and collecting the results into a flat array, ordered by a breadth-first
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traversal of `x`, respecting the iteration order of `children` calls.
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Doesn't recurse inside branches rooted at nodes `v`
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for which `exclude(v) == true`.
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In such cases, the root `v` is also excluded from the result.
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By default, `exclude` always yields `false`.
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See also [`children`](@ref).
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# Examples
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```jldoctest
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julia> struct Foo; x; y; end
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julia> @functor Foo
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julia> struct Bar; x; end
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julia> @functor Bar
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julia> struct NoChildren; x; y; end
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julia> m = Foo(Bar([1,2,3]), NoChildren(:a, :b))
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Foo(Bar([1, 2, 3]), NoChildren(:a, :b))
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julia> fcollect(m)
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4-element Vector{Any}:
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Foo(Bar([1, 2, 3]), NoChildren(:a, :b))
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Bar([1, 2, 3])
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[1, 2, 3]
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NoChildren(:a, :b)
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julia> fcollect(m, exclude = v -> v isa Bar)
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2-element Vector{Any}:
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Foo(Bar([1, 2, 3]), NoChildren(:a, :b))
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NoChildren(:a, :b)
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julia> fcollect(m, exclude = v -> Functors.isleaf(v))
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2-element Vector{Any}:
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Foo(Bar([1, 2, 3]), NoChildren(:a, :b))
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Bar([1, 2, 3])
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```
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"""
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fcollect
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end # module

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