Base.unaliascopy for SubArray is broken for indices with AbstractArray{<:CartesianIndex}

[jishnub]

julia> convert(CartesianIndex{1}, 1)
ERROR: MethodError: Cannot `convert` an object of type Int64 to an object of type CartesianIndex{1}

Closest candidates are:
  convert(::Type{T}, ::T) where T
   @ Base Base.jl:64
  CartesianIndex{N}(::Integer...) where N
   @ Base multidimensional.jl:72
  CartesianIndex{N}(::Integer...) where N
   @ Base multidimensional.jl:75

Stacktrace:
 [1] top-level scope
   @ REPL[1]:1

julia> convert(Int, CartesianIndex{1}(1)) # the other way works, so there's a correspondence
1

julia> CartesianIndex{1}(1) # a constructor is defined
CartesianIndex(1,)

julia> versioninfo()
Julia Version 1.10.0-DEV.12
Commit ee0f3fc334a (2022-11-16 00:27 UTC)
Platform Info:
  OS: Linux (x86_64-linux-gnu)
  CPU: 8 × 11th Gen Intel(R) Core(TM) i5-1135G7 @ 2.40GHz
  WORD_SIZE: 64
  LIBM: libopenlibm
  LLVM: libLLVM-14.0.6 (ORCJIT, tigerlake)
  Threads: 1 on 8 virtual cores
Environment:
  LD_LIBRARY_PATH = :/usr/lib/x86_64-linux-gnu/gtk-3.0/modules
  JULIA_EDITOR = subl

Perhaps the conversion from an Int to a CartesianIndex{1} should work as well.

Real-world case: https://discourse.julialang.org/t/using-views-with-cartesianindices-is-this-a-bug/19823/3

[N5N3]

Adding this convert seems ok to me.
But the root cause is that the Base.unaliascopy for SubArray is broken for indices with AbstractArray{<:CartesianIndex}

julia> a = randn(2,2)
2×2 Matrix{Float64}:
 -0.76243   -0.203595
  0.647722  -1.62516

julia> b = view(a, [CartesianIndex(2,2),CartesianIndex(1,1)])
2-element view(::Matrix{Float64}, CartesianIndex{2}[CartesianIndex(2, 2), CartesianIndex(1, 1)]) with eltype Float64:
 -1.6251623904863501
 -0.7624298422634336

julia> Base.unaliascopy(b)
ERROR: MethodError: Cannot `convert` an object of type Int64 to an object of type CartesianIndex{2}

And I dont think we want to add convert from Int to CartesianIndex{N}.