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/*
123 is a number
blubb is not a number
5$"%! is not a number
45 is a number

task 1: tokenize well (in this case, ignore quotes)
task 2: discover patterns "* is a number" and "* is not a number"
task 3: call pattern 1 positive, pattern 2 negative
task 4: make set of positive/negative example strings for argument
task 5a: learn description for positive examples, output new examples
task 5b: learn description for negative examples, output new examples
*/

cprint {
  S input = [[
    123 is a number
    blubb is not a number
    5$"%! is not a number
    45 is a number
  ]];
  
  start-thread {
    // task 1: tokenize well (in this case, ignore quotes)
    
    ITokenizer tokenizer = lambda1 splitAtSpaceTokenizer;
    LLS tokenizedInput = map(s -> simpleSpacesAndTrim(tokenizer.tokenize(s)), tlft(input));
    pnlStruct(+tokenizedInput);
    
    // task 2: discover patterns "* is a number" and "* is not a number"
    // (by finding best split point)
    
    /*int minTokens = max(lambdaMap countCodeTokens(tokenizedInput));
    print(+minTokens);
    
    for (int i = 1; i <= minTokens; i++) {
      Set<S> patterns = ciSet();
      for (LS tok : tokenizedInput)
        patterns.add("* " + joinSubList(tok, indexOfCodeToken(i)));
      print("Patterns for split point " + i + ": " + patterns);
    }*/
    
    int splitAtToken = 1;
    Set<S> patterns = patternsTreatingFirstNTokensAsVariable(tokenizedInput, splitAtToken);
    print(+patterns);
    assertEquals(2, l(patterns));
    
    // task 3: make set of positive/negative example strings for argument
    
    Map<S, LS> examples = mapToValues_linkedHashMap(patterns, pat ->
      mapNotNulls(tok -> firstMatch(getFlexMatchIC(pat, tok)), tokenizedInput));
    print(+examples);
    
    //task 4a: make theories

    replace Xmp with L<Char>.
    
    Map<S, L<Xmp>> examplesAsLists = mapValues(l -> lambdaMap characters(l), examples);
    print(examplesAsLists);
    //examplesAsLists = reverseKeys(examplesAsLists); // test reversing to see if theory gets reversed
    L<Xmp> posExamples = firstValue(examplesAsLists), negExamples = secondValue(examplesAsLists);

    L<F1> someFunctions = ll(
      f<Char, Bool> isDigit,
      f<Char, Bool> isLetter,
      f<Char, Bool> isLetterOrDigit,
      f<Char, Bool> isSpace);

    // for functions that are applicable to the elements of the examples:
    new LinkedHashSet<ITheoryOn<Xmp>> theories;
    for (O function : concatAsOrderedSet(lambdaMap plusNegation(someFunctions))) {
      //if (!functionCallableOnAll_nonSynthetic(function, concatLists(values(examplesAsLists)))) continue;
      print("Testing function " + function);
      theories.add(new AllElementsSatisfy(function));
      theories.add(new AnyElementSatisfies(function));
    }

    theories.addAll(concatLists(lambdaMap theoryPlusInverse(theories)));
    pnl(theories);

    // test theories
    Map<ITheoryOn<Xmp>, PosNeg<Xmp>> theoryResults = mapToValues(theories, theory -> 
      PosNeg(mapToValues(trueFalseMap(posExamples, negExamples), (example, x) ->
        theory.check(example) == x)));
    pnl(theoryResults);

    L<ITheoryOn<Xmp>> perfectTheories = keysWhereValue(theoryResults, pn -> pn.perfect());
    print(+perfectTheories);
    ITheoryOn<Xmp> bestTheory = first(perfectTheories);
    if (bestTheory == null) ret;

    // make new examples
    
    IntRange sizeRange = sizeRangeOfCollections(posExamples);
    print(+sizeRange);

    for (ITheoryOn<Xmp> t : perfectTheories)
      if (t cast AllElementsSatisfy) {
        IF0<Char> generator = predicateToGenerator(t.pred);
        if (generator == null) continue with print("No generator for " + t.pred);
        repeat 10 {
          S example = charactersToString(repF(random(sizeRange), generator));
          print("> ", format(firstKey(examplesAsLists), example));
        }
      }
  }

  IF0<Char> predicateToGenerator(O f) {
    if (eq(str(f), "isDigit(x)"))
      ret () -> randomDigit();
     null;
  }
}