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!7

replace MarkedImage with BWImageAndRange.
static L<MarkedImage> markedImages;

p-exp {
  L<File> files = latestFilesFirst(audioRecordingsWithSingleClip());
  pnl(files);
  markedImages = map_printProgress(f audioFileToBWImageAndRange, files);

  showOriginalClips();
  findBestBand();
}

srecord Band(IntRange r, float threshold) {}

svoid findBestBand {
  final int h = first(markedImages).image.getHeight();
  final new Best<Band> best;
  final new AIStrategy_RandomWithVariation<Band> strategy;
  strategy.random = func -> Band { Band(randomIntRange(1, 0, h), randomFloat()) };
  strategy.vary = func(Band b) -> Band { Band(varyIntRange(b.r, 5, 1, 0, h), varyFloat(b.threshold)) };
  strategy.submit = func(final Band b) -> double {
    new Scorer scorer;
    for (MarkedImage img : markedImages)
      audio_scoreEntryPoints(scorer, img, audio_exitPointsUsingBand_v1(img.image, b.r, threshold := b.threshold));
    if (best.put(b, scorer!)) {
      print(scorer + " / Band: " + b + " of " + h);
      quickShowZoomedImage(mergeBWImagesVertically(map(markedImages,
        func(MarkedImage img) -> BWImage {
          new Var<BWImage> processedImage;
          L<Int> exitPoints = audio_exitPointsUsingBand_v1(img.image, b.r, threshold := b.threshold, +processedImage);
          ret markIntRangesOnTopOfBWImage(
            squishBWImage(processedImage!, 20),
            ll(intRange(img.start, img.end)),
            intsToSize2Ranges(exitPoints));
        })));
    }
    ret scorer!;
  };
  thread { while licensed { strategy.go(); } }
}

svoid showOriginalClips {
  showImage(mergeBWImagesVertically(map renderBWImageAndRange(markedImages)));
}