Support ranges as shape information in randn/rand

[mtfishman]

Array constructors like zeros, ones, and fill accept Base.OneTo to define the axes/dimensions/shape, but randn and rand don't:

julia> zeros(Float64, Base.OneTo.((2, 2)))
2×2 Matrix{Float64}:
 0.0  0.0
 0.0  0.0

julia> ones(Float64, Base.OneTo.((2, 2)))
2×2 Matrix{Float64}:
 1.0  1.0
 1.0  1.0

julia> fill(2.0, Base.OneTo.((2, 2)))
2×2 Matrix{Float64}:
 2.0  2.0
 2.0  2.0

julia> randn(Float64, Base.OneTo.((2, 2)))
ERROR: MethodError: no method matching randn(::Type{Float64}, ::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}})
The function `randn` exists, but no method is defined for this combination of argument types.

Closest candidates are:
  randn(::Type{T}) where T
   @ Random ~/.julia/juliaup/julia-nightly/share/julia/stdlib/v1.12/Random/src/normal.jl:225
  randn(::Type{T}, ::Integer...) where T
   @ Random ~/.julia/juliaup/julia-nightly/share/julia/stdlib/v1.12/Random/src/normal.jl:274
  randn(::Type{T}, ::NTuple{N, Int64} where N) where T
   @ Random ~/.julia/juliaup/julia-nightly/share/julia/stdlib/v1.12/Random/src/normal.jl:273
  ...

Stacktrace:
 [1] top-level scope
   @ REPL[4]:1

julia> rand(Float64, Base.OneTo.((2, 2)))
ERROR: MethodError: no method matching rand(::Type{Float64}, ::Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}})
The function `rand` exists, but no method is defined for this combination of argument types.

Closest candidates are:
  rand(::Type{X}, ::Integer, Integer...) where X
   @ Random ~/.julia/juliaup/julia-nightly/share/julia/stdlib/v1.12/Random/src/Random.jl:294
  rand(::Type{X}, ::NTuple{N, Int64} where N) where X
   @ Random ~/.julia/juliaup/julia-nightly/share/julia/stdlib/v1.12/Random/src/Random.jl:291
  rand(::Type{X}) where X
   @ Random ~/.julia/juliaup/julia-nightly/share/julia/stdlib/v1.12/Random/src/Random.jl:261
  ...

Stacktrace:
 [1] top-level scope
   @ REPL[5]:1

julia> versioninfo()
Julia Version 1.12.0-DEV.1825
Commit ed2cb490505 (2025-01-02 20:05 UTC)
Build Info:
  Official https://julialang.org release
Platform Info:
  OS: macOS (arm64-apple-darwin24.0.0)
  CPU: 10 × Apple M1 Max
  WORD_SIZE: 64
  LLVM: libLLVM-18.1.7 (ORCJIT, apple-m1)
Threads: 1 default, 0 interactive, 1 GC (on 8 virtual cores)

I think it would be nice for generic code to support that.