Python3+@njit faster than julia (rs)

General Usage
2

Reversing the loops gave me a significant performance spead-up in julia:

# your original function
julia> @btime test($f, $m);
  1.945 ms (0 allocations: 0 bytes)


julia> function test2(f, m)
                 size = length(f)
                 for j in 1:size
                     for i in 1:size
                         dij = m[i,j]
                         f[i] = dij
                         f[j] = -dij 
                     end
                 end
                 return f
             end
test2 (generic function with 1 method)

julia> @btime test2($f, $m);
  799.093 μs (0 allocations: 0 bytes)
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