Yes, certainly one can argue here back and forth:
julia> Int32[5730]*86400e3
1-element Array{Float64,1}:
4.95072e11
julia> Int32[5730]*86400f3
1-element Array{Float32,1}:
4.95072e11
i.e. promotion also here the same as for scalar*scalar. My data are from
hardware sensors or counters, which deliver 8, 16 or 32 bit, memory
consumption in the computer is normally not an issue.
What's wrong with these solutions?
> julia> Array{Int64}(Int32[5730])
> 1-element Array{Int64,1}:
> 5730
>
> julia> convert(Array{Int64}, Int32[5730])
> 1-element Array{Int64,1}:
> 5730
>
> julia> map(Int64, Int32[5730])
> 1-element Array{Int64,1}:
> 5730
Good comprehensive set of solutions, thanks. Still,
julia> Int32[5730]*1
would be shorter and nevertheless easily readable, according to my taste.
Regards,
Stephan
