How to reduce redundancy in a list inside a DataFrame

New to Julia
3

The logic is:

julia> function identify_pairs(v::AbstractVector)
           local start, stop
           initialized = false
           res = eltype(v)[]
           for x in v
               if initialized
                   if x == stop + 1
                       stop = x
                   else
                       if stop > start
                           push!(res, start, stop)
                           initialized = false
                       end
                       start = stop = x
                       initialized = true
                   end
               else
                   start = stop = x
                   initialized = true
               end
           end
           if stop >  start
               push!(res, start, stop)
           end
           return res
       end
identify_pairs (generic function with 1 method)

julia> transform(df, :list => ByRow(identify_pairs) => :new)
3×2 DataFrame
 Row │ list                          new
     │ Array…                        Array…
─────┼────────────────────────────────────────────────
   1 │ [1, 2, 3, 6, 12, 13, 14]      [1, 3, 12, 14]
   2 │ [20, 21, 23, 24, 50]          [20, 21, 23, 24]
   3 │ [1, 3, 5, 7, 10, 11, 12, 13]  [10, 13]
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