Running sage locally under Ubuntu to avoid any esoteric problems in the cloud, I discovered another issue...while I could iterate over Posets(7) and (8) and count their linear extensions with little trouble, attempting to do so with the 9-element posets overnight resulted in python eating up 4+GB of memory before giving up and nearly freezing my machine outright. Watching it run a second time even after inserting regular calls to gc.collect() I see the memory usage steadily climb even though each poset is only referenced once and then discarded...I recognize that there's a lot of calculation to do, but I don't understand why the intermediate results would accumulate in this fashion. Is there any way to circumvent this? Thanks in advance...
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