-- bbh_filter.lua -- -- This script outputs info about 'interesting' skp files, -- where the definition of 'interesting' changes but is roughly: -- "Interesting for bounding box hierarchy benchmarks." -- -- Currently, the approach is to output, in equal ammounts, the names of the files that -- have most commands, and the names of the files that use the least popular commands. function count_entries(table) local count = 0 for _,_ in pairs(table) do count = count + 1 end return count end verbCounts = {} function reset_current() -- Data about the skp in transit currentInfo = { fileName = '', verbs = {}, numOps = 0 } end reset_current() numOutputFiles = 10 -- This is per measure. globalInfo = {} -- Saves currentInfo for each file to be used at the end. output = {} -- Stores {fileName, {verb, count}} tables. function tostr(t) local str = "" for k, v in next, t do if #str > 0 then str = str .. ", " end if type(k) == "number" then str = str .. "[" .. k .. "] = " else str = str .. tostring(k) .. " = " end if type(v) == "table" then str = str .. "{ " .. tostr(v) .. " }" else str = str .. tostring(v) end end return str end function sk_scrape_startcanvas(c, fileName) end function sk_scrape_endcanvas(c, fileName) globalInfo[fileName] = currentInfo globalInfo[fileName].fileName = fileName reset_current() end function sk_scrape_accumulate(t) -- dump the params in t, specifically showing the verb first, which we -- then nil out so it doesn't appear in tostr() -- verbCounts[t.verb] = (verbCounts[t.verb] or 0) + 1 currentInfo.verbs[t.verb] = (currentInfo.verbs[t.verb] or 0) + 1 currentInfo.numOps = currentInfo.numOps + 1 t.verb = nil end function sk_scrape_summarize() verbWeights = {} -- {verb, weight}, where 0 < weight <= 1 meta = {} for k,v in pairs(verbCounts) do table.insert(meta, {key=k, value=v}) end table.sort(meta, function (a,b) return a.value > b.value; end) maxValue = meta[1].value io.write("-- ==================\n") io.write("------------------------------------------------------------------ \n") io.write("-- Command\t\t\tNumber of calls\t\tPopularity\n") io.write("------------------------------------------------------------------ \n") for k, v in pairs(meta) do verbWeights[v.key] = v.value / maxValue -- Poor man's formatting: local padding = "\t\t\t" if (#v.key + 3) < 8 then padding = "\t\t\t\t" end if (#v.key + 3) >= 16 then padding = "\t\t" end io.write ("-- ",v.key, padding, v.value, '\t\t\t', verbWeights[v.key], "\n") end meta = {} function calculate_weight(verbs) local weight = 0 for name, count in pairs(verbs) do weight = weight + (1 / verbWeights[name]) * count end return weight end for n, info in pairs(globalInfo) do table.insert(meta, info) end local visitedFiles = {} -- Prints out information in lua readable format function output_with_metric(metric_func, description, numOutputFiles) table.sort(meta, metric_func) print(description) local iter = 0 for i, t in pairs(meta) do if not visitedFiles[t.fileName] then visitedFiles[t.fileName] = true io.write ("{\nname = \"", t.fileName, "\", \nverbs = {\n") for verb,count in pairs(globalInfo[t.fileName].verbs) do io.write(' ', verb, " = ", count, ",\n") end io.write("}\n},\n") iter = iter + 1 if iter >= numOutputFiles then break end end end end output_with_metric( function(a, b) return calculate_weight(a.verbs) > calculate_weight(b.verbs); end, "\n-- ================== skps with calling unpopular commands.", 10) output_with_metric( function(a, b) return a.numOps > b.numOps; end, "\n-- ================== skps with the most calls.", 50) local count = count_entries(visitedFiles) print ("-- Spat", count, "files") end