!7

sclass Analyzer {
  static int baseSize = 1024;
  
  S word1, word2;
  Rect clip; // in baseSize*baseSize
  float threshold;
  
  S analyze(BWImage img) {
    ret clipBWImage(img, rescaleRect(clip, baseSize, baseSize, img.getWidth(), img.getHeight())).averageBrightness() >= threshold ? word1 : word2;
  }
}

static LPair<S, BWImage> images = new L;
sS word1 = "yes", word2 = "no";

p-exp {
  L<File> files = audioRecordingsWithSingleClip();
  for (File f : allRecordings()) {
    S word = wordFromAudioFileName(f);
    if (!eqicOneOf(word, word1, word2)) continue;
    images.add(pair(word, bwAutoContrast(audio_clipFromLastEntryPoint(audioFileToFrequencyImage(f)))));
    print(fileName(f));
  }
  
  showImage(second(random(images)));
  findBestAnalyzer();
}

void findBestAnalyzer {
  final new Best<Analyzer> best;
  final new AIStrategy_RandomWithVariation<Analyzer> strategy;
  strategy.random = func -> Analyzer { randomAnalyzer() };
  strategy.submit = func(final Analyzer a) -> double {
    new Scorer scorer;
    
    for (Pair<S, BWImage> img : images)
      scorer.add(eqic(img.a, analyzer.analyze(img.b)));
      
    if (best.put(r, scorer!))
      print(scorer + " / " + sfu(a)); 
    ret scorer!;
  };
  thread { while licensed { strategy.go(); } }