revert promotions of abstract arrays inside other arrays (#47893)

(cherry picked from commit 427432e)

Author: KristofferC

base/range.jl

@@ -1277,11 +1277,6 @@ el_same(::Type{T}, a::Type{<:AbstractArray{T,n}}, b::Type{<:AbstractArray{S,n}})
 el_same(::Type{T}, a::Type{<:AbstractArray{S,n}}, b::Type{<:AbstractArray{T,n}}) where {T,S,n} = b
 el_same(::Type, a, b) = promote_typejoin(a, b)
 
-promote_result(::Type{<:AbstractArray}, ::Type{<:AbstractArray}, ::Type{T}, ::Type{S}) where {T,S} = (@inline; promote_type(T,S))
-promote_result(::Type{T}, ::Type{S}, ::Type{Bottom}, ::Type{Bottom}) where {T<:AbstractArray,S<:AbstractArray} = (@inline; promote_typejoin(T,S))
-# If no promote_rule is defined, both directions give Bottom. In that case use typejoin on the eltypes instead and give Array as the container.
-promote_result(::Type{<:AbstractArray{T,n}}, ::Type{<:AbstractArray{S,n}}, ::Type{Bottom}, ::Type{Bottom}) where {T,S,n} = (@inline; Array{promote_type(T,S),n})
-
 promote_rule(a::Type{UnitRange{T1}}, b::Type{UnitRange{T2}}) where {T1,T2} =
     el_same(promote_type(T1, T2), a, b)
 UnitRange{T}(r::UnitRange{T}) where {T<:Real} = r

stdlib/LinearAlgebra/src/adjtrans.jl

@@ -237,8 +237,8 @@ julia> transpose(v) * v # compute the dot product
 
 For a matrix of matrices, the individual blocks are recursively operated on:
 ```jldoctest
-julia> C = reshape(1:4, 2, 2)
-2×2 reshape(::UnitRange{Int64}, 2, 2) with eltype Int64:
+julia> C = [1 3; 2 4]
+2×2 Matrix{Int64}:
  1  3
  2  4
 

test/bitarray.jl

@@ -98,9 +98,9 @@ end
 timesofar("conversions")
 
 @testset "Promotions for size $sz" for (sz, T) in allsizes
-    @test isequal(promote(falses(sz...), zeros(sz...)),
+    @test_broken isequal(promote(falses(sz...), zeros(sz...)),
                  (zeros(sz...), zeros(sz...)))
-    @test isequal(promote(trues(sz...), ones(sz...)),
+    @test_broken isequal(promote(trues(sz...), ones(sz...)),
                  (ones(sz...), ones(sz...)))
     ae = falses(1, sz...)
     ex = (@test_throws ErrorException promote(ae, ones(sz...))).value

test/broadcast.jl

@@ -699,11 +699,11 @@ end
     @test_throws Base.CanonicalIndexError A[2] .= 0
     @test_throws MethodError A[3] .= 0
     A = [[1, 2, 3], 4:5]
-    @test A isa Vector{Vector{Int}}
     A[1] .= 0
-    A[2] .= 0
-    @test A[1] == [0, 0, 0]
-    @test A[2] == [0, 0]
+    @test A[1] isa Vector{Int}
+    @test A[2] isa UnitRange
+    @test A[1] == [0,0,0]
+    @test_throws Base.CanonicalIndexError A[2] .= 0
 end
 
 # Issue #22180