Example #1
1
 @Test
 public void toMutableMap() {
   int max = 5;
   List<List<Integer>> l = List.range(1, max + 1).map(n -> List.single(n));
   TreeMap<List<Integer>, String> m2 =
       TreeMap.treeMap(Ord.listOrd(Ord.intOrd), l.zip(l.map(i -> i.toString())));
   Map<List<Integer>, String> mm = m2.toMutableMap();
   assertEquals(m2.keys(), List.fromIterable(mm.keySet()));
 }
Example #2
0
  @Override
  public Vector get(Particle particle) {
    Vector velocity = (Vector) particle.getVelocity();
    Vector position = (Vector) particle.getPosition();
    PSO algorithm = (PSO) AbstractAlgorithm.get();
    int ns = (int) nSize.getParameter();
    fj.data.List<Particle> neighbours =
        algorithm
            .getTopology()
            .sort(
                Ord.ord(
                    VectorBasedFunctions.sortByDistance(particle, new EuclideanDistanceMeasure())))
            .take(ns);

    Vector.Builder builder = Vector.newBuilder();
    for (int i = 0; i < particle.getDimension(); ++i) {
      double informationSum = 0.0;
      double randomSum = 0;

      for (Particle currentTarget : neighbours) {
        Vector currentTargetPosition = (Vector) currentTarget.getBestPosition();
        double randomComponent = Rand.nextDouble() * (4.1 / ns);
        informationSum += randomComponent * currentTargetPosition.doubleValueOf(i);
        randomSum += randomComponent;
      }

      double value =
          inertiaWeight.getParameter()
              * (velocity.doubleValueOf(i)
                  + randomSum * ((informationSum / (ns * randomSum) - position.doubleValueOf(i))));
      builder.add(value);
    }

    return builder.build();
  }
Example #3
0
 /**
  * Invariant functor map over this enumerator.
  *
  * @param f The covariant map.
  * @param g The contra-variant map.
  * @return An enumerator after the given functions are applied.
  */
 public <B> Enumerator<B> xmap(final F<A, B> f, final F<B, A> g) {
   final F<Option<A>, Option<B>> of = o -> o.map(f);
   return enumerator(
       compose(compose(of, successor), g),
       compose(compose(of, predecessor), g),
       max.map(f),
       min.map(f),
       order.contramap(g),
       compose(compose(Function.<Long, Option<A>, Option<B>>compose().f(of), plus), g));
 }