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sclass Gazelle_MiniEngine1 {
  int minScore = 50; // minimal percentage score for rule matching
  bool printMappings, printGroupedData, printRejectedVars; // what to debug-print
  F1<S> formatForUser = func(S s) -> S { ai_superSimpleVerbCorrector(tok_dropCurlyBrackets(s)) };
  F1<S, LS> parse = func(S s) -> LS { codeTokens_lazy_uncurly(javaTokWithBrackets_cached(s)) };

  LPair<S> rules;
  Map<PairS, Set<S>> ruleVariables = new Map;
  
  S formatForUser(S s) { ret callF(formatForUser, s); }
  LS parse(S s) { ret callF(parse, s); }
  
  // returns solutions
  MultiMap<S> run(S _data) {
    S data = mapEachLine ai_groupSimplestNounPhrases(_data);
    if (printGroupedData) print(data);
    SS sections = asCIMap(minusSignsSections(data));
    rules = ai_findDoubleArrowRulesAsPairs(sections.get("Rules"));
    for (PairS rule : rules)
      ruleVariables.put(rule, ai_wordsInBothSidesOfPair_uncurly(rule));
  
    printAsciiHeading("REASONING");
    new MultiMap<S> solutions;
  
    for (S input : tlft(sections.get("Input"))) {
      print("\nInput: " + tok_dropCurlyBrackets(input));
      temp tempIndent();
      for (Pair<S, Int> in : interpretations(input)) {
        print("\nInterpretation: " + formatForUser(in.a));
        Set<S> out = litciset();
        interpretRecursively(in.a, 5, out);
        if (!matchAny("fail", out))
          solutions.put(input, in.a);
      }
    }
    
    printAsciiHeading("RESULTS");
    print(formatDoubleArrowPairs_horizontallyAligned(mapPairBoth(formatForUser, multiMapToPairs(solutions))));
    ret solutions;
  }
  
  void interpretRecursively(S input, int level, Set<S> out) {
    if (level <= 0) ret;
    LS interpretations = pairsA(interpretations(ai_groupSimplestNounPhrases(input)));
    temp tempIndent();
    for (S in : addAllAndReturnNew(out, interpretations)) {
      print(" => " + formatForUser(in));
      for (S s : lithashset(in, ai_superSimpleVerbCorrector(in)))
        interpretRecursively(s, level-1, out);
    }
  }
  
  LPair<S, Int> interpretations(S input) {
    LS tokI = parse(input);
    new LPair<S, Int> interpretations;
      
    for (PairS rule : rules) {
      LS tokR = parse(rule.a);
      final SS map = ciMapWithoutKeysEqualToValues(zipTwoListsToCIMap_strict(tokR, tokI));
      if (map == null) continue;
      
      // Found matching rule
      
      int score = l(tokR)-l(map);
      L<S> nonVars = withoutDollarVars(listMinusSet(keys(map), ruleVariables.get(rule)));
      if (printRejectedVars && nempty(nonVars)) print("Rejected vars: " + nonVars);
      if (nempty(nonVars)) score = 0;
      if (printMappings) print("  " + reverseMapCI_joinDuplicatesWithPlus(map) + " | " + rule.a);
      
      // Make consequence
      
      S c = rule.b;
      c = join(mapCodeTokens(javaTok(c), func(S s) -> S { getOrKeep_tryUncurlied(map, s) }));
      c = join(mapCodeTokens(javaTokWithBrackets(c), func(S s) -> S { getOrKeep_tryUncurlied(map, s) }));
      //c = javaTokWithBrackets_recursiveTransform(func(S s) -> S { getOrKeep(map, s) }, c);
      
      addPairIfBAtLeast(interpretations, c, ratioToIntPercent(score, l(tokR)), minScore);
    }
      
    ret interpretations;
  }
}