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-- HNN Dashboard Cache Calibrator local cacheFile = "hnn_cache.txt" local cache = {} if fs.exists(cacheFile) then local f = fs.open(cacheFile, "r") if f then cache = textutils.unserialize(f.readAll()) or {} f.close() end end term.clear() term.setCursorPos(1,1) print("=== HNN Model Calibrator ===") print("Enter the Target Mob Name exactly as it appears (e.g., Starlight Golem):") local mob = read() print("\nEnter the Accuracy Percentage (e.g., 73):") local acc = tonumber(read()) or 5 local tier = "Faulty" if acc >= 99 then tier = "Self-Aware" elseif acc >= 72 then tier = "Superior" elseif acc >= 67 then tier = "Advanced" elseif acc >= 30 then tier = "Basic" end -- We simulate 1000 runs to create a strong mathematical anchor -- so a few unlucky live drops won't swing the percentage wildly. local runs = 1000 local hits = math.floor((acc / 100) * runs) cache[mob] = { runs = runs, hits = hits, tier = tier, acc = acc } local f = fs.open(cacheFile, "w") f.write(textutils.serialize(cache)) f.close() term.setTextColor(colors.green) print("\nSuccess! Calibrated " .. mob .. " to " .. tier .. " (" .. acc .. "%).") term.setTextColor(colors.white) print("Run your 'startup' script again to see the updated stats.")
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