public boolean isIndependent(Node x, Node y, List<Node> z) {
int[] all = new int[z.size() + 2];
all[0] = variablesMap.get(x);
all[1] = variablesMap.get(y);
for (int i = 0; i < z.size(); i++) {
all[i + 2] = variablesMap.get(z.get(i));
}
int sampleSize = data.get(0).rows();
List<Double> pValues = new ArrayList<Double>();
for (int m = 0; m < ncov.size(); m++) {
TetradMatrix _ncov = ncov.get(m).getSelection(all, all);
TetradMatrix inv = _ncov.inverse();
double r = -inv.get(0, 1) / sqrt(inv.get(0, 0) * inv.get(1, 1));
double fisherZ =
sqrt(sampleSize - z.size() - 3.0) * 0.5 * (Math.log(1.0 + r) - Math.log(1.0 - r));
double pValue;
if (Double.isInfinite(fisherZ)) {
pValue = 0;
} else {
pValue = 2.0 * (1.0 - RandomUtil.getInstance().normalCdf(0, 1, abs(fisherZ)));
}
pValues.add(pValue);
}
double _cutoff = alpha;
if (fdr) {
_cutoff = StatUtils.fdrCutoff(alpha, pValues, false);
}
Collections.sort(pValues);
int index = (int) round((1.0 - percent) * pValues.size());
this.pValue = pValues.get(index);
// if (this.pValue == 0) {
// System.out.println("Zero pvalue "+ SearchLogUtils.independenceFactMsg(x, y, z,
// getPValue()));
// }
boolean independent = this.pValue > _cutoff;
if (verbose) {
if (independent) {
TetradLogger.getInstance()
.log("independencies", SearchLogUtils.independenceFactMsg(x, y, z, getPValue()));
// System.out.println(SearchLogUtils.independenceFactMsg(x, y, z, getPValue()));
} else {
TetradLogger.getInstance()
.log("dependencies", SearchLogUtils.dependenceFactMsg(x, y, z, getPValue()));
}
}
return independent;
}
public long pack(ArrayList<Integer> at) {
Collections.sort(at);
long a = 0;
for (int i = 0; i < N; i++) {
a |= (at.get(i) << (6 * i));
}
return a;
}
int calc(int cnt) {
ArrayList<Integer> lst = new ArrayList<Integer>();
for (int i = 0; i < weight.length; ++i)
if (weight[i] >= cnt) {
int r = 0;
for (int j = list[i].size() - 1, k = 0; k < cnt; --j, ++k) r += list[i].get(j);
lst.add(r);
}
Collections.sort(lst);
int ret = 0;
for (int i = lst.size() - 1, j = 0; j < k; ++j, --i) ret += lst.get(i);
return ret;
}
private static Collection<PerformanceProbe> list(long period) {
if (period == ALL_RECORDERS) {
Collection<PerformanceProbe> result = new Vector<PerformanceProbe>();
for (Collection<PerformanceProbe> probes : _perfProbes.values()) {
result.addAll(probes);
}
return result;
}
Collection<PerformanceProbe> result = _perfProbes.get(period);
if (result == null) {
return Collections.emptySet();
}
return result;
}
void solve() throws IOException {
n = ni();
k = ni();
w = new int[n];
c = new int[n];
for (int i = 0; i < n; ++i) {
w[i] = ni();
c[i] = ni();
}
for (int i = 0; i < list.length; i++) {
list[i] = new ArrayList<Integer>();
}
for (int i = 0; i < n; ++i) {
weight[w[i]]++;
list[w[i]].add(c[i]);
}
for (int i = 0; i < list.length; i++) {
Collections.sort(list[i]);
}
int ret = count();
out.println(ret + " " + calc(ret));
}
/*Create an array list of random orders for the available status - this will help put the equipment randomly*/
private void randomizeOrderRent() {
for (int counter = 0; counter < RENTCAPACITYX * RENTCAPACITYY; counter++) {
randomOrder.add(counter);
}
Collections.shuffle(randomOrder);
}
