Implement Base.broadcastable for BioSequence types.

src/biosequence/biosequence.jl

@@ -157,3 +157,4 @@ include("printing.jl")
 include("transformations.jl")
 include("counting.jl")
 include("copying.jl")
+include("seqbroadcast.jl")

src/biosequence/seqbroadcast.jl

@@ -0,0 +1,155 @@
+#=
+
+Let's have a look at the example of broadcasting addition with a vector.
+
+@less broadcast(+, [1,2,3], 1)
+===
+broadcast(f::Tf, As...) where {Tf} = materialize(broadcasted(f, As...))
+
+
+@less Base.broadcasted(+, [1,2,3], 1)
+===
+@inline function broadcasted(f, arg1, arg2, args...)
+    arg1′ = broadcastable(arg1)
+    arg2′ = broadcastable(arg2)
+    args′ = map(broadcastable, args)
+    broadcasted(combine_styles(arg1′, arg2′, args′...), f, arg1′, arg2′, args′...)
+end
+@inline broadcasted(::S, f, args...) where S<:BroadcastStyle = Broadcasted{S}(f, args)
+
+bc =  Base.broadcasted(Base.Broadcast.combine_styles(arg1, arg2), +, arg1, arg2)
+Base.Broadcast.Broadcasted(+, ([1, 2, 3], 1))
+
+typeof(bc)
+Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1}, Nothing, typeof(+), Tuple{Vector{Int64}, Int64}}
+
+
+@less Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1}}(+, (arg1, arg2))
+===
+function Broadcasted{Style}(f::F, args::Args, axes=nothing) where {Style, F, Args<:Tuple}
+    # using Core.Typeof rather than F preserves inferrability when f is a type
+    Broadcasted{Style, typeof(axes), Core.Typeof(f), Args}(f, args, axes)
+end
+
+
+@less materialize(bc)
+===
+@inline materialize(bc::Broadcasted) = copy(instantiate(bc))
+materialize(x) = x
+
+
+@less Base.Broadcast.instantiate(bc)
+===
+@inline function instantiate(bc::Broadcasted{Style}) where {Style}
+    if bc.axes isa Nothing # Not done via dispatch to make it easier to extend instantiate(::Broadcasted{Style})
+        axes = combine_axes(bc.args...)
+    else
+        axes = bc.axes
+        check_broadcast_axes(axes, bc.args...)
+    end
+    return Broadcasted{Style}(bc.f, bc.args, axes)
+end
+
+
+@less Base.Broadcast.combine_axes(bc.args...)
+===
+@inline combine_axes(A, B...) = broadcast_shape(axes(A), combine_axes(B...))
+@inline combine_axes(A, B) = broadcast_shape(axes(A), axes(B))
+
+
+@less @less Base.Broadcast.broadcast_shape(axes([1,2,3]), axes(1))
+===
+broadcast_shape(shape::Tuple) = shape
+broadcast_shape(shape::Tuple, shape1::Tuple, shapes::Tuple...) = broadcast_shape(_bcs(shape, shape1), shapes...)
+
+
+@less Base.Broadcast._bcs(axes([1,2,3]), axes(1))
+===
+_bcs(shape::Tuple, ::Tuple{}) = (shape[1], _bcs(tail(shape), ())...)
+
+_bcs consolidates two shapes into a single output shape
+
+shape = axes([1,2,3])
+@less Base.Broadcast._bcs(Base.tail(shape), ())
+===
+_bcs(::Tuple{}, ::Tuple{}) = ()
+()
+
+(shape[1], _bcs(tail(shape), ())...)
+
+
+@less copy(Base.Broadcast.instantiate(bc))
+===
+@inline function copy(bc::Broadcasted{Style}) where {Style}
+    ElType = combine_eltypes(bc.f, bc.args)
+    if Base.isconcretetype(ElType)
+        # We can trust it and defer to the simpler `copyto!`
+        return copyto!(similar(bc, ElType), bc)
+    end
+    # When ElType is not concrete, use narrowing. Use the first output
+    # value to determine the starting output eltype; copyto_nonleaf!
+    # will widen `dest` as needed to accommodate later values.
+    bc′ = preprocess(nothing, bc)
+    iter = eachindex(bc′)
+    y = iterate(iter)
+    if y === nothing
+        # if empty, take the ElType at face value
+        return similar(bc′, ElType)
+    end
+    # Initialize using the first value
+    I, state = y
+    @inbounds val = bc′[I]
+    dest = similar(bc′, typeof(val))
+    @inbounds dest[I] = val
+    # Now handle the remaining values
+    # The typeassert gives inference a helping hand on the element type and dimensionality
+    # (work-around for #28382)
+    ElType′ = ElType === Union{} ? Any : ElType <: Type ? Type : ElType
+    RT = dest isa AbstractArray ? AbstractArray{<:ElType′, ndims(dest)} : Any
+    return copyto_nonleaf!(dest, bc′, iter, state, 1)::RT
+end
+
+
+@less Base.Broadcast.combine_eltypes(bc.f, bc.args)
+===
+combine_eltypes(f, args::Tuple) = promote_typejoin_union(Base._return_type(f, eltypes(args)))
+
+@less Base.Broadcast.eltypes(bc.args)
+
+@less Base._return_type(+, Base.Broadcast.eltypes(bc.args))
+
+@less Base.Broadcast.promote_typejoin_union(Base._return_type(+, Base.Broadcast.eltypes(bc.args)))
+===
+function promote_typejoin_union(::Type{T}) where T
+    if T === Union{}
+        return Union{}
+    elseif T isa UnionAll
+        return Any # TODO: compute more precise bounds
+    elseif T isa Union
+        return promote_typejoin(promote_typejoin_union(T.a), promote_typejoin_union(T.b))
+    elseif T <: Tuple
+        return typejoin_union_tuple(T)
+    else
+        return T
+    end
+end
+
+
+@less similar(bc, Base.Broadcast.combine_eltypes(bc.f, bc.args))
+===
+Base.similar(bc::Broadcasted, ::Type{T}) where {T} = similar(bc, T, axes(bc))
+Base.similar(::Broadcasted{DefaultArrayStyle{N}}, ::Type{ElType}, dims) where {N,ElType} = similar(Array{ElType}, dims)
+Base.similar(::Broadcasted{DefaultArrayStyle{N}}, ::Type{Bool}, dims) where N = similar(BitArray, dims)
+
+@less copyto!(similar(bc, Base.Broadcast.combine_eltypes(bc.f, bc.args)), bc)
+
+
+
+=#
+
+Base.broadcastable(x::BioSequence) = x
+
+
+
+
+