-- Generate n-grams of Skia API calls from SKPs. -- To test this locally, run: -- $ GYP_DEFINES="skia_shared_lib=1" make lua_pictures -- $ out/Debug/lua_pictures -q -r $SKP_DIR -l tools/lua/ngrams.lua > /tmp/lua-output -- $ lua tools/lua/ngrams_aggregate.lua -- To run on Cluster Telemetry, copy and paste the contents of this file into -- the box at https://skia-tree-status.appspot.com/skia-telemetry/lua_script, -- and paste the contents of ngrams_aggregate.lua into the "aggregator script" -- box on the same page. -- Change n as desired. -- CHANGEME local n = 3 -- CHANGEME -- This algorithm uses a list-of-lists for each SKP. For API call, append a -- list containing just the verb to the master list. Then, backtrack over the -- last (n-1) sublists in the master list and append the verb to those -- sublists. At the end of execution, the master list contains a sublist for -- every verb in the SKP file. Each sublist has length n, with the exception of -- the last n-1 sublists, which are discarded in the summarize() function, -- which generates counts for each n-gram. local ngrams = {} local currentFile = "" function sk_scrape_startcanvas(c, fileName) currentFile = fileName ngrams[currentFile] = {} end function sk_scrape_endcanvas(c, fileName) end function sk_scrape_accumulate(t) table.insert(ngrams[currentFile], {t.verb}) for i = 1, n-1 do local idx = #ngrams[currentFile] - i if idx > 0 then table.insert(ngrams[currentFile][idx], t.verb) end end end function sk_scrape_summarize() -- Count the n-grams. local counts = {} for file, ngramsInFile in pairs(ngrams) do for i = 1, #ngramsInFile - (n-1) do local ngram = table.concat(ngramsInFile[i], " ") if counts[ngram] == nil then counts[ngram] = 1 else counts[ngram] = counts[ngram] + 1 end end end -- Write out code for aggregating. for ngram, count in pairs(counts) do io.write("if counts['", ngram, "'] == nil then counts['", ngram, "'] = ", count, " else counts['", ngram, "'] = counts['", ngram, "'] + ", count, " end\n") end end