As I struggle to scale the slopes of julia sagacity I encountered the following and the fact that it didn’t throw an error, well, threw me.
julia> Acc_rd
Dict{Tuple{Int64, Int64}, Vector{Int64}} with 12 entries:
  (101521, 12124) => [23434]
  (101521, 9412)  => []
  (100105, 7207)  => [20661, 20662, 20911, 20912, 21111, 21112, 21113, 21114, 21181, 21182  …  26…
  (102653, 12124) => [20911, 20912, 22311, 22314, 23431, 24971, 25901, 25902, 26351, 26352]
     :
and then
julia> Acc_rd[101521, 12124]
1-element Vector{Int64}:
 23434
I’ve no doubt that there is some magic happening behind the scenes that “fills in the blanks” but I can’t help having the feeling that at some point features become counter-productive.
As I said at the outset, spare a thought…