!636 !quicknew !688 // buf.isEmpty !standard functions abstract class Predictor { public abstract String predict(String s, int chars); public void preload(String s) {} } main { static new (Hash)Set debug; psvm { String input = "abcdefghijklmnopqrstuvwxyz"; new List preloads; for (int i = 0; i < args.length; i++) { String arg = args[i]; if (arg.equals("debug")) { String s = args[++i]; debug.add(s); debugOn(s); } else if (isSnippetID(arg)) input = loadSnippet(arg); else if (arg.equals("preload")) { String s = args[++i]; preloads.add(loadSnippet(s)); } } input = input.replace("\r", ""); new List predictors; add(predictors, new PLin, new PWords, new PIndent); for (Predictor p : predictors) for (String s : preloads) p.preload(s); new Collector globalCollector; int skips = 0, totalSkip = 0; new StringBuilder compacted; for (int splitPoint = 0; splitPoint < input.length(); splitPoint++) { String before = input.substring(0, splitPoint); String rest = input.substring(splitPoint); new Collector collector; for (Predictor p : predictors) { boolean doDebug = debug.contains(p.getClass().getName().replaceAll("^main\\$", "")); int chars = rest.length(); String prediction = ""; try { prediction = p.predict(before, chars); if (doDebug) System.out.println("Actual prediction: " + prediction); } catch (Throwable e) { // silent exception } // convenience result fixing for the predictors if (prediction == null) prediction = ""; if (prediction.length() > chars) prediction = prediction.substring(0, chars); String actual = rest.length() > chars ? rest.substring(0, chars) : rest; int improvement = getScore2(prediction, actual); collector.add(p, prediction, improvement, splitPoint); if (doDebug) { String expected = actual.substring(0, Math.min(prediction.length()+5, rest.length())); System.out.println(splitPoint + "*" + improvement + " " + structure(p) + " -> " + quote(prediction) + " vs " + quote(expected) + " (error " + (actual.length()-improvement) + " of " + rest.length() + ")"); } globalCollector.add(p, prediction, improvement, splitPoint); } int skip = 0; if (collector.bestScore > 0) { System.out.println(splitPoint + " " + collector.bestScore + " " + structure(collector.winner)); skip = commonPrefix(rest, collector.winnerResult).length(); } if (skip != 0) { System.out.println("Skipping " + skip + ": " + quote(collector.winnerResult.substring(0, skip))); splitPoint += skip-1; totalSkip += skip; ++skips; compacted.append('*'); } else compacted.append(input.charAt(splitPoint)); } System.out.println("\n" + compacted + "\n\n"); System.out.println("Highest score seen: " + globalCollector.bestScore + " by " + structure(globalCollector.winner) + " at " + globalCollector.splitPoint); System.out.println("Total characters skipped: " + totalSkip + "/" + input.length() + " (skips: " + skips + ")"); } static class Collector { Predictor winner; String winnerResult; long bestScore = -1; int splitPoint; void add(Predictor p, String result, long score, int splitPoint) { if (winner == null || score > bestScore) { winner = p; winnerResult = result; bestScore = score; this.splitPoint = splitPoint; } } } !include #1000388 // "leven" function (Levenshtein distance) /*static class P0 extends Predictor { public String predict(String s, int chars) { return ""; } } static class P1 extends Predictor { public String predict(String s, int chars) { return s; } }*/ static class PLin extends Predictor { public String predict(String s, int chars) { if (s.length() < 2) return ""; char a = s.charAt(s.length()-2); char b = s.charAt(s.length()-1); int step = (char) (((int) b) - (int) a); new StringBuilder buf; for (int i = 0; i < chars; i++) { char c = (char) (((int) a) + step*(i+2)); buf.append(c); } return buf.toString(); } } static void add(Collection c, C... objects) { for (C x : objects) c.add(x); } static String structure(Object o) { String name = o.getClass().getName(); new StringBuilder buf; if (o instanceof Collection) { for (Object x : (Collection) o) { if (!buf.isEmpty()) buf.append(", "); buf.append(structure(x)); } return "{" + buf + "}"; } // Need more cases? This should cover all library classes... if (name.startsWith("java.") || name.startsWith("javax.")) return String.valueOf(o); String shortName = o.getClass().getName().replaceAll("^main\\$", ""); // TODO: go to superclasses too Field[] fields = o.getClass().getDeclaredFields(); for (Field field : fields) { if ((field.getModifiers() & Modifier.STATIC) != 0) continue; Object value; try { value = field.get(o); } catch (Exception e) { value = "?"; } String fieldName = field.getName(); // special case for PWords - show only number of preloaded words if (shortName.equals("PWords") && field.getName().equals("preloaded")) value = ((Collection) value).size(); if (!buf.isEmpty()) buf.append(", "); buf.append(fieldName + "=" + structure(value)); } String s = shortName; if (!buf.isEmpty()) s += "(" + buf + ")"; return s; } static int getScore1(String prediction, String rest) { int error = leven(prediction, rest); return rest.length()-error; } static int getScore2(String prediction, String rest) { return commonPrefix(prediction, rest).length(); } static class PWords extends Predictor { static boolean debug; new (Tree)Set preloaded; public void preload(String s) { preloaded.addAll(findWords(s)); } public String predict(String s, int chars) { Set words = findWords(s); words.addAll(preloaded); String word = match("\\w+$", s); if (word == null) return ""; if (debug) System.out.println("Looking for: " + word); for (String w : words) if (w.startsWith(word)) { String pred = w.substring(word.length()); if (debug) System.out.println("PWords: predicted " + quote(pred) + " for " + quote(word) + " based on word " + quote(w)); return pred; } return ""; } boolean firstTime = true; Set findWords(String s) { Set words = new TreeSet( Collections.reverseOrder()); // important so partial matches come later words.addAll(matchAll("\\w+", s)); if (debug && firstTime && s.length() >= 100) { firstTime = false; //System.out.println("Words found: " + structure(words)); } return words; } } static String match(String pattern, String text) { List matches = new ArrayList(); Matcher matcher = Pattern.compile(pattern).matcher(text); return matcher.find() ? matcher.group() : null; } static class PIndent extends Predictor { public String predict(String s, int chars) { int i = s.lastIndexOf('\n'); int j = i+1; while (j < s.length() && (s.charAt(j) == ' ' || s.charAt(j) == '\t')) ++j; return "\n" + s.substring(i, j); } } }