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 local nb_times = 1 function npc_handler(npc, ch) do_message(npc, ch, "You know what?") do_message(npc, ch, string.format("I have already asked this question %d times today.", nb_times)) nb_times = nb_times + 1 do_npc_close(npc, ch) end function npc_handler(npc, ch) do_message(npc, ch, "Don't you think the guy behind me is my evil twin?") do_npc_close(npc, ch) end function npc_handler(npc, ch) local v = do_choice(npc, ch, "Buy", "Sell") if v == 1 then mana.npc_trade(npc, ch, false, { {525, 0, 800}, {531, 0, 3000}, {530, 0, 8000}, {1199, 0, 3} }) elseif v == 2 then mana.npc_trade(npc, ch, true, { {525, 0, 400}, {531, 0, 1500}, {530, 0, 4000}, {1199, 0, 1} }) end do_npc_close(npc, ch) end function npc_handler(npc, ch) do_message(npc, ch, "This is really a nice place.\nDon't you think so?") do_npc_close(npc, ch) end function npc_handler(npc, ch) do_message(npc, ch, "If I only had a tent...") do_npc_close(npc, ch) end