Fix JuliaLang#24914 (WIP).

base/broadcast.jl

@@ -242,12 +242,6 @@ broadcast_indices
 # special cases defined for performance
 broadcast(f, x::Number...) = f(x...)
 @inline broadcast(f, t::NTuple{N,Any}, ts::Vararg{NTuple{N,Any}}) where {N} = map(f, t, ts...)
-@inline broadcast!(::typeof(identity), x::AbstractArray{T,N}, y::AbstractArray{S,N}) where {T,S,N} =
-    Base.indices(x) == Base.indices(y) ? copy!(x, y) : _broadcast!(identity, x, y)
-
-# special cases for "X .= ..." (broadcast!) assignments
-broadcast!(::typeof(identity), X::AbstractArray, x::Number) = fill!(X, x)
-broadcast!(f, X::AbstractArray, x::Number...) = (@inbounds for I in eachindex(X); X[I] = f(x...); end; X)
 
 ## logic for deciding the BroadcastStyle
 # Dimensionality: computing max(M,N) in the type domain so we preserve inferrability
@@ -448,8 +442,18 @@ Note that `dest` is only used to store the result, and does not supply
 arguments to `f` unless it is also listed in the `As`,
 as in `broadcast!(f, A, A, B)` to perform `A[:] = broadcast(f, A, B)`.
 """
-@inline broadcast!(f, C::AbstractArray, A, Bs::Vararg{Any,N}) where {N} =
-    _broadcast!(f, C, A, Bs...)
+broadcast!(f, dest, As...) = broadcast!(f, dest, combine_styles(As...), As...)
+broadcast!(f, dest, ::BroadcastStyle, As...) = broadcast!(f, dest, nothing, As...)
+@inline function broadcast!(f, C, ::Void, A, Bs::Vararg{Any,N}) where N
+    if isa(f, typeof(identity)) && N == 0
+        if isa(A, Number)
+            return fill!(C, A)
+        elseif isa(C, AbstractArray) && isa(A, AbstractArray) && Base.indices(C) == Base.indices(A)
+            return copy!(C, A)
+        end
+    end
+    return _broadcast!(f, C, A, Bs...)
+end
 
 # This indirection allows size-dependent implementations (e.g., see the copying `identity`
 # specialization above)

base/sparse/higherorderfns.jl

@@ -93,7 +93,8 @@ end
 # (3) broadcast[!] entry points
 broadcast(f::Tf, A::SparseVector) where {Tf} = _noshapecheck_map(f, A)
 broadcast(f::Tf, A::SparseMatrixCSC) where {Tf} = _noshapecheck_map(f, A)
-function broadcast!(f::Tf, C::SparseVecOrMat) where Tf
+
+function broadcast!(f::Tf, C::SparseVecOrMat, ::Void) where Tf
     isempty(C) && return _finishempty!(C)
     fofnoargs = f()
     if _iszero(fofnoargs) # f() is zero, so empty C
@@ -106,14 +107,13 @@ function broadcast!(f::Tf, C::SparseVecOrMat) where Tf
     end
     return C
 end
-function broadcast!(f::Tf, C::SparseVecOrMat, A::SparseVecOrMat, Bs::Vararg{SparseVecOrMat,N}) where {Tf,N}
-    _aresameshape(C, A, Bs...) && return _noshapecheck_map!(f, C, A, Bs...)
-    Base.Broadcast.check_broadcast_indices(indices(C), A, Bs...)
-    fofzeros = f(_zeros_eltypes(A, Bs...)...)
-    fpreszeros = _iszero(fofzeros)
-    return fpreszeros ? _broadcast_zeropres!(f, C, A, Bs...) :
-                        _broadcast_notzeropres!(f, fofzeros, C, A, Bs...)
+function broadcast!(f, dest::SparseVecOrMat, ::Void, A, Bs::Vararg{Any,N}) where N
+    if isa(f, typeof(identity)) && N == 0 && isa(A, Number)
+        return fill!(dest, A)
+    end
+    return spbroadcast_args!(f, dest, Broadcast.combine_styles(A, Bs...), A, Bs...)
 end
+
 # the following three similar defs are necessary for type stability in the mixed vector/matrix case
 broadcast(f::Tf, A::SparseVector, Bs::Vararg{SparseVector,N}) where {Tf,N} =
     _aresameshape(A, Bs...) ? _noshapecheck_map(f, A, Bs...) : _diffshape_broadcast(f, A, Bs...)
@@ -1005,18 +1005,18 @@ Broadcast.BroadcastStyle(::SparseMatStyle, ::Broadcast.DefaultArrayStyle{N}) whe
 broadcast(f, ::PromoteToSparse, ::Void, ::Void, As::Vararg{Any,N}) where {N} =
     broadcast(f, map(_sparsifystructured, As)...)
 
-# ambiguity resolution
-broadcast!(::typeof(identity), dest::SparseVecOrMat, x::Number) =
-    fill!(dest, x)
-broadcast!(f, dest::SparseVecOrMat, x::Number...) =
-    spbroadcast_args!(f, dest, SPVM, x...)
-
 # For broadcast! with ::Any inputs, we need a layer of indirection to determine whether
 # the inputs can be promoted to SparseVecOrMat. If it's just SparseVecOrMat and scalars,
 # we can handle it here, otherwise see below for the promotion machinery.
-broadcast!(f, dest::SparseVecOrMat, mixedsrcargs::Vararg{Any,N}) where N =
-    spbroadcast_args!(f, dest, Broadcast.combine_styles(mixedsrcargs...), mixedsrcargs...)
-function spbroadcast_args!(f, dest, ::Type{SPVM}, mixedsrcargs::Vararg{Any,N}) where N
+function spbroadcast_args!(f::Tf, C, ::SPVM, A::SparseVecOrMat, Bs::Vararg{SparseVecOrMat,N}) where {Tf,N}
+    _aresameshape(C, A, Bs...) && return _noshapecheck_map!(f, C, A, Bs...)
+    Base.Broadcast.check_broadcast_indices(indices(C), A, Bs...)
+    fofzeros = f(_zeros_eltypes(A, Bs...)...)
+    fpreszeros = _iszero(fofzeros)
+    return fpreszeros ? _broadcast_zeropres!(f, C, A, Bs...) :
+                        _broadcast_notzeropres!(f, fofzeros, C, A, Bs...)
+end
+function spbroadcast_args!(f, dest, ::SPVM, mixedsrcargs::Vararg{Any,N}) where N
     # mixedsrcargs contains nothing but SparseVecOrMat and scalars
     parevalf, passedsrcargstup = capturescalars(f, mixedsrcargs)
     return broadcast!(parevalf, dest, passedsrcargstup...)