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sclass G22FindSimilarMasksTask<A> {
  // Image we are looking up
  settable Image2B queryImage;
  
  // optional - which primary mask holder is tasked with the search
  // settable IG22MasksHolder mainMasksHolder;
  
  // where the found masks go (probability = similarity)
  settable new ProbabilisticList<FoundMask> outList;
  
  // probabilistic stack & scheduler
  settable new PStack pstack;
  
  // how many full mask comparisons were made
  int comparisons;
  
  // We all know what this is for
  settable bool verbose;
  
  // Has the search been ended?
  settable bool ended;
  
  class FoundMask {
    settable IG22Mask<A> mask;
    settable double similarity;
    settable int candidateNumber;
    settable long stepCount;
    settable double foundAtProbability;
    
    Image2B image() { ret mask.image(); }
  }
  
  *() {}
  *(IG22Mask<A> mask) { queryImage(mask.image()); }
  *(Image2B image) { queryImage(image); }
  
  IProbabilisticScheduler scheduler() { ret pstack.scheduler(); }
  
  void tryMask(IG22Mask<A> candidate) {
    if (candidate == null) ret;
    comparisons++;
    var candidateImage = candidate.image();
    long diff = binaryImagePixelDifference_sameSize(queryImage, candidateImage);
          
    double p = liftProbabilityOffGround(1-doubleRatio(diff, area(candidateImage)));
    if (verbose)
      printVars("Candidate tested", +diff, +p, +candidate);
    foundMask(candidate, p);
  }
  
  void foundMask(IG22Mask<A> mask, double similarity) {
    long stepCount = scheduler().stepCount();
    if (verbose)
      print("Found mask with similarity " + formatDouble3X(similarity) + " in step " + stepCount);
    outList.at(similarity,
      new FoundMask().
        // actual result
        +mask.+similarity
        
        // stats to test effectivity of search heuristic
        .candidateNumber(comparisons).+stepCount
        .foundAtProbability(scheduler().currentProbability()));
  }
  
  void endSearch { ended(true); }
}