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