@Benchmark
  int joinerWithStringDelimiter(int reps) {
    int dummy = 0;
    for (int i = 0; i < reps; i++) {
      dummy ^= JOINER_ON_STRING.join(components).length();
    }
    return dummy;
  }

  /** {@link Joiner} with a character delimiter. */
  @Benchmark
  int joinerWithCharacterDelimiter(int reps) {
    int dummy = 0;
    for (int i = 0; i < reps; i++) {

    }
  }

  @Benchmark
  long factorialDouble(int reps) {
    long tmp = 0;
    for (int i = 0; i < reps; i++) {
      int j = i & ARRAY_MASK;
      tmp += Double.doubleToRawLongBits(impl.factorialDouble(factorials[j]));
    }
    return tmp;
  }

  @Benchmark
  int intGCD(int reps) {
    int tmp = 0;
    for (int i = 0; i < reps; i++) {
      int j = i & ARRAY_MASK;

    }
  }

  @Benchmark
  int log2(int reps) {
    int tmp = 0;
    for (int i = 0; i < reps; i++) {
      int j = i & ARRAY_MASK;
      tmp += BigIntegerMath.log2(positive[j], mode);
    }
    return tmp;
  }

  @Benchmark
  int log10(int reps) {
    int tmp = 0;
    for (int i = 0; i < reps; i++) {
      int j = i & ARRAY_MASK;

                            LinkedHashMap::new));

            // for each managed dep in the model:
            // * if there is no corresponding node in the tree, discard the managed dep
            // * if there's a direct dependency, apply the managed dependency to it and discard the managed dep
            // * else keep the managed dep
            managedDependencies.keySet().retainAll(nodes.keySet());

  }

  @Benchmark
  int collections(int reps) {
    int dummy = 0;
    // Yes, this could be done more elegantly
    if (mutable) {
      for (int i = 0; i < reps; i++) {
        List<Integer> copy = new ArrayList<>(input);
        sort(copy);
        dummy += copy.get(0);
      }
    } else {
      for (int i = 0; i < reps; i++) {
        List<Integer> copy = new ArrayList<>(input);

    random.nextBytes(testBytes);
  }

  @Benchmark
  int hasher(int reps) {
    HashFunction hashFunction = hashFunctionEnum.getHashFunction();
    int result = 37;
    for (int i = 0; i < reps; i++) {
      result ^= hashFunction.newHasher().putBytes(testBytes).hash().asBytes()[0];
    }
    return result;
  }

  @Benchmark
  int hashFunction(int reps) {
    HashFunction hashFunction = hashFunctionEnum.getHashFunction();

Guillaume Nodet <******@****.***> 1736492952 +0100

      String unused = interner.intern(Double.toHexString(Math.random()));
    }
    return reps;
  }

  @CanIgnoreReturnValue
  @Benchmark
  int stringIntern(int reps) {
    for (int i = 0; i < reps; i++) {
      String unused = Double.toHexString(Math.random()).intern();
    }
    return reps;
  }

    return datasets[i & 0xFF].clone();
  }

  @Benchmark
  double median(int reps) {
    double dummy = 0.0;
    for (int i = 0; i < reps; i++) {
      dummy += algorithm.singleQuantile(1, 2, dataset(i));
    }
    return dummy;
  }

  @Benchmark
  double percentile90(int reps) {
    double dummy = 0.0;
    for (int i = 0; i < reps; i++) {
      dummy += algorithm.singleQuantile(90, 100, dataset(i));
    }

Guillaume Nodet <******@****.***> 1729859506 +0200