Equivalent to R's dput in Julia - julia

Question

Is there a way to convert an object in Julia to a code representation generating the same object?
I am basically looking for an equivalent to R's dput function.
So if I have an object like:
A = rand(2,2)
# Which outputs
>2×2 Array{Float64,2}:
0.0462887 0.365109
0.698356 0.302478
I can do something like dput(A) which prints something like the following to the console that can be copy-pasted to be able to replicate the object:
[0.0462887 0.365109; 0.698356 0.302478]

Answer 1

I think you are looking for repr:
julia> A = rand(2, 2);
julia> repr(A)
"[0.427705 0.0971806; 0.395074 0.168961]"

Answer 2

Just use Base.dump.
julia> dump(rand(2,2))
Array{Float64}((2, 2)) [0.162861 0.434463; 0.0823066 0.519742]
You can copy the second part.

Answer 3

(This is a modified crosspost of https://stackoverflow.com/a/73337342/18431399)
repr might not work as expected for DataFrames.
Here is one way to mimic the behaviour of R's dput for DataFrames in Julia:
julia> using DataFrames
julia> using Random; Random.seed!(0);
julia> df = DataFrame(a = rand(3), b = rand(1:10, 3))
3×2 DataFrame
Row │ a b
│ Float64 Int64
─────┼──────────────────
1 │ 0.405699 1
2 │ 0.0685458 7
3 │ 0.862141 2
julia> repr(df) # Attempting with repr()
"3×2 DataFrame\n Row │ a b\n │ Float64 Int64\n─────┼──────────────────\n 1 │ 0.405699 1\n 2 │ 0.0685458 7\n 3 │ 0.862141 2"
julia> julian_dput(x) = invoke(show, Tuple{typeof(stdout), Any}, stdout, df);
julia> julian_dput(df)
DataFrame(AbstractVector[[0.4056994708920292, 0.06854582438651502, 0.8621408571954849], [1, 7, 2]], DataFrames.Index(Dict(:a => 1, :b => 2), [:a, :b]))
That is, julian_dput() takes a DataFrame as input and returns a string that can generate the input.
Source: https://discourse.julialang.org/t/given-an-object-return-julia-code-that-defines-the-object/80579/12