reintepret reshape of 0-dimensional array

[FeatherPurple]

I installed Julia with the command curl -fsSL https://install.julialang.org | sh. I couldn't find anyone else talking about this specific issue anywhere I looked, but I apologize if I just missed it. There seems to be a problem displaying reinterpreted/reshapeed 0-dimensional arrays. Despite the fact that the elements of this array are Int64s, they are shown as 0-dimensional arrays of Int64s with unrelated contents. The setup is shown below.

julia> versioninfo()
Julia Version 1.10.3
Commit 0b4590a5507 (2024-04-30 10:59 UTC)
Build Info:
  Official https://julialang.org/ release
Platform Info:
  OS: macOS (arm64-apple-darwin22.4.0)
  CPU: 10 × Apple M1 Max
  WORD_SIZE: 64
  LIBM: libopenlibm
  LLVM: libLLVM-15.0.7 (ORCJIT, apple-m1)
Threads: 10 default, 0 interactive, 5 GC (on 8 virtual cores)
Environment:
  JULIA_NUM_THREADS = 10

julia> r = reinterpret(reshape, Int, fill(1 => 2))
2-element reinterpret(reshape, Int64, ::Array{Pair{Int64, Int64}, 0}) with eltype Int64:
 fill(4538293232)
 fill(4539746992)

julia> r[1], r[2], collect(r)
(1, 2, [1, 2])

julia> typeof(r)
Base.ReinterpretArray{Int64, 1, Pair{Int64, Int64}, Array{Pair{Int64, Int64}, 0}, true}

julia> typeof(fill(4538293232))
Array{Int64, 0}

julia> eltype(r)
Int64

[mbauman]

The issue here is with the ReshapeArray's index style and accessing with more than one index:

julia> r = reinterpret(reshape, Int, fill(1 => 2))
2-element reinterpret(reshape, Int64, ::Array{Pair{Int64, Int64}, 0}) with eltype Int64:
 fill(925)
 fill(0)

julia> r[1]
1

julia> r[1,1]
0-dimensional Array{Int64, 0}:
4468297136

julia> r[1,1,1]
0-dimensional Array{Int64, 0}:
0

julia> r[1,1,1,1]
ERROR: StackOverflowError:

[adienes]

r = reinterpret(reshape, Int, fill(1 => 2)) started stack overflowing right off the bat on 1.11 ☹️

and in 1.10 has some correctness issues

julia> r = reinterpret(reshape, Int8, fill(1<<9))
8-element reinterpret(reshape, Int8, ::Array{Int64, 0}) with eltype Int8:
 fill(-1)
 fill(-1)
 fill(32)
 fill(44)
 fill(-1)
 fill(-1)
 fill(-1)
 fill(-1)

julia> r = reinterpret(reshape, Int8, [1<<9])
8×1 reinterpret(reshape, Int8, ::Vector{Int64}) with eltype Int8:
 0
 2
 0
 0
 0
 0
 0
 0