/*
* Should return path from initial node to terminal;
* Means getting new path-backtracker
*/
public Counter bfs(int initNode, int terminalNode) {
Counter shortestPaths = new Counter();
Counter currentNodes = new Counter();
Counter newNodes = new Counter();
shortestPaths.add(initNode, 0);
newNodes.add(initNode, 0);
while (!newNodes.isEmpty()) {
currentNodes = new Counter(newNodes);
newNodes = new Counter();
for (int r : currentNodes.keySet()) {
Counter row = this.getRow(r);
for (int c : row.keySet()) {
// Weighted case: later paths can be shorter than first path
double pathLength = currentNodes.get(r) + row.get(c);
if (pathLength < shortestPaths.getPath(c)) {
newNodes.put(c, pathLength);
shortestPaths.put(c, pathLength);
}
}
}
if (shortestPaths.getPath(terminalNode) < Double.MAX_VALUE / 2.0) {
break;
}
}
return shortestPaths;
}
public static Counter ConstrainedEig(SparseMatrix mat, SparseMatrix orthogMat) {
double trimEps = 0;
int iterLimit = 10000;
long start;
long end;
Counter vector = new Counter();
int vecLen = mat.colDim;
for (int i = 0; i < vecLen; i++) {
// vector.add(i, 1.0/Math.sqrt(vecLen));
vector.add(i, Math.random() - 0.5);
}
Counter oldVector = new Counter();
// vector = mat.multiply(vector);
// for(int r: orthogMat.rows){
// Counter orthogRow = orthogMat.getRow(r);
// vector.orthogonalize(orthogRow);
//// System.out.println(vector.dot(orthogRow));
// }
double norm = 0;
double sim = 0;
double diff = 1.0;
double diffNeg = 1.0;
int t = 0;
start = System.currentTimeMillis();
while (diff > Math.pow(10.0, -16.0) && diffNeg > Math.pow(10.0, -16.0) && t < iterLimit) {
t += 1;
// vector.trimKeys(trimEps);
oldVector = new Counter(vector);
vector = mat.multiply(vector);
for (int r : orthogMat.rows) {
Counter orthogRow = orthogMat.getRow(r);
// System.out.println("before: "+vector.dot(orthogRow));
vector.orthogonalize(orthogRow);
// System.out.println("after: "+vector.dot(orthogRow));
}
norm = 0;
norm = vector.norm();
vector.multiply(1.0 / norm);
diff = 0;
diffNeg = 0;
Set<Integer> vecOldUnion = vector.concreteKeySet();
vecOldUnion.addAll(oldVector.concreteKeySet());
for (int i : vecOldUnion) {
// for(int i = 0; i < mat.colDim; i++){
diff += (oldVector.get(i) - vector.get(i)) * (oldVector.get(i) - vector.get(i));
diffNeg += (oldVector.get(i) + vector.get(i)) * (oldVector.get(i) + vector.get(i));
}
sim = vector.dot(oldVector);
// System.out.println(diff+" "+diffNeg+" "+sim+" "+norm+"
// "+vector.dot(orthogMat.getRow(0)));
// System.out.println(vector.toString());
// System.out.println(oldVector.toString());
}
System.out.println(norm + " " + orthogMat.rows.size() + " " + sim);
// System.out.println(mat.toStringValues());
end = System.currentTimeMillis();
System.out.println("Time: " + (end - start) + " iterations: " + t);
return vector;
}
@Test
public void countDownTest() {
EventSource<Void> src1 = new EventSource<Void>();
EventSource<Void> src2 = new EventSource<Void>();
EventSource<Void> reset = new EventSource<Void>();
BiFunction<Integer, Void, Tuple2<Integer, Optional<String>>> countdown =
(s, i) -> s == 1 ? t(3, Optional.of("COUNTDOWN REACHED")) : t(s - 1, Optional.empty());
EventStream<String> countdowns =
StateMachine.init(3)
.on(src1)
.transmit(countdown)
.on(src2)
.transmit(countdown)
.on(reset)
.transition((s, i) -> 3)
.toEventStream();
Counter counter = new Counter();
Subscription sub = countdowns.hook(x -> counter.inc()).pin();
src1.push(null);
src2.push(null);
assertEquals(0, counter.get());
src1.push(null);
assertEquals(1, counter.getAndReset());
src2.push(null);
src2.push(null);
reset.push(null);
assertEquals(0, counter.get());
src2.push(null);
assertEquals(0, counter.get());
src1.push(null);
assertEquals(0, counter.get());
src2.push(null);
assertEquals(1, counter.getAndReset());
sub.unsubscribe();
src1.push(null);
src1.push(null);
src1.push(null);
src1.push(null);
src1.push(null);
src1.push(null);
assertEquals(0, counter.get());
}
/*
* Matrix mult but with min-plus, and iterative. Each min-plus operation
* that changes the path inserts it into a new queue
*/
public SparseMatrix apsp() {
SparseMatrix shortestPaths = new SparseMatrix(this);
SparseMatrix currentPairs = new SparseMatrix(this.rowDim, this.colDim);
SparseMatrix newPairs = new SparseMatrix(this.rowDim, this.colDim);
newPairs = new SparseMatrix(this);
for (int d = 0; d < this.rowDim; d++) {
shortestPaths.set(d, d, 0.0);
}
for (int d = 0; d < this.rowDim; d++) {
newPairs.set(d, d, 0.0);
}
while (!newPairs.isEmpty()) {
currentPairs = new SparseMatrix(newPairs);
newPairs = new SparseMatrix(this.rowDim, this.colDim);
for (int r : currentPairs.rows) {
Counter row = currentPairs.getRow(r);
for (int c : row.keySet()) {
Counter oRow = this.getRow(c);
for (int oc : oRow.keySet()) {
double pathLength = currentPairs.get(r, c) + oRow.get(oc);
if (pathLength < shortestPaths.getPath(r, oc)) {
newPairs.set(r, oc, pathLength);
shortestPaths.set(r, oc, pathLength);
}
}
}
}
}
return shortestPaths;
}
public IotHubMessageResult execute(Message msg, Object context) {
Counter counter = (Counter) context;
System.out.println(
"Received message "
+ counter.toString()
+ " with content: "
+ new String(msg.getBytes(), Message.DEFAULT_IOTHUB_MESSAGE_CHARSET));
int switchVal = counter.get() % 3;
IotHubMessageResult res;
switch (switchVal) {
case 0:
res = IotHubMessageResult.COMPLETE;
break;
case 1:
res = IotHubMessageResult.ABANDON;
break;
case 2:
res = IotHubMessageResult.REJECT;
break;
default:
// should never happen.
throw new IllegalStateException("Invalid message result specified.");
}
System.out.println("Responding to message " + counter.toString() + " with " + res.name());
counter.increment();
return res;
}
public static Counter PersonalizedPageRank(Counter seedVector, SparseMatrix transitionMat) {
double trimEps = 0.0;
int iterLimit = 200;
transitionMat = transitionMat.stochasticizeRows();
double beta = 0.85;
long start;
long end;
Counter vector = new Counter(seedVector);
double svCard = 0;
for (int i : seedVector.keySet()) {
svCard += seedVector.get(i);
}
Counter oldVector = new Counter(vector);
vector = transitionMat.multiply(vector);
double diff = 1;
int t = 0;
start = System.currentTimeMillis();
while (diff > Math.pow(10.0, -10.0) && (diff < 3.99999 || diff > 4.00001) && t < iterLimit) {
t += 1;
vector.trimKeys(trimEps);
vector = transitionMat.multiply(vector);
Set<Integer> vecSeedUnion = vector.concreteKeySet();
vecSeedUnion.addAll(seedVector.concreteKeySet());
for (int i : vecSeedUnion) {
// vector.set(i,
// beta*vector.get(i)/norm+(1-beta)*seedVector.get(i));///Math.max(norm,1.0));
vector.set(
i,
beta * vector.get(i)
+ (1 - beta) * seedVector.get(i) / svCard); // /Math.max(norm,1.0));
}
double norm = 0;
for (int i : vector.keySet()) {
// norm += vector.get(i)*vector.get(i);
// norm += Math.abs(vector.get(i));
norm += vector.get(i);
}
// norm = Math.sqrt(norm);
diff = 0;
Set<Integer> vecOldUnion = vector.concreteKeySet();
vecOldUnion.addAll(oldVector.concreteKeySet());
for (int i : vecOldUnion) {
diff += (oldVector.get(i) - vector.get(i)) * (oldVector.get(i) - vector.get(i));
}
System.out.println(diff + " " + norm);
// System.out.println(vector.toString());
// System.out.println(oldVector.toString());
oldVector = new Counter(vector);
}
// System.out.println(transitionMat.toStringValues());
end = System.currentTimeMillis();
System.out.println("Time: " + (end - start) + " iterations: " + t);
return vector;
}
public SparseMatrix makeLaplacian() {
SparseMatrix laplacian = new SparseMatrix(this.rowDim, this.colDim);
for (int r : this.getRows()) {
Counter row = this.getRow(r);
laplacian.set(r, r, row.sum());
for (int c : row.keySet()) {
laplacian.set(r, c, -1 * row.get(c));
}
}
return laplacian;
}
public SparseMatrix multiply(SparseMatrix other) {
SparseMatrix mult = new SparseMatrix(this.rowDim, other.colDim);
for (int r : rows) {
// System.out.println("multiplying row: "+ r);
Counter row = this.getRow(r);
// for(int c: other.cols){
// Counter col = other.getCol(c);
// double dotProd = row.dot(col);
// System.out.println(row.toString()+" "+col.toString()+" "+dotProd);
// mult.set(r, c, dotProd);
// }
for (int c : row.keySet()) {
Counter oRow = other.getRow(c);
for (int oc : oRow.keySet()) {
mult.add(r, oc, row.get(c) * oRow.get(oc));
}
}
}
return mult;
}
public SparseMatrix transpose() {
SparseMatrix transp = new SparseMatrix(this.rowDim, this.colDim);
for (int r : rows) {
Counter row = this.getRow(r);
for (int c : row.keySet()) {
double v = row.get(c);
transp.set(c, r, v);
}
}
return transp;
}
/**
* Removes the given number of int blocks from the buffer if possible.
*
* @param num the number of int blocks to remove
* @return the number of actually removed buffers
*/
public int freeBlocks(int num) {
assert num >= 0 : "free blocks must be >= 0 but was: " + num;
final int stop;
final int count;
if (num > freeBlocks) {
stop = 0;
count = freeBlocks;
} else {
stop = freeBlocks - num;
count = num;
}
while (freeBlocks > stop) {
freeByteBlocks[--freeBlocks] = null;
}
bytesUsed.addAndGet(-count * blockSize * RamUsageEstimator.NUM_BYTES_INT);
assert bytesUsed.get() >= 0;
return count;
}
/** @param page Page. */
public final void addPage(GridResultPage page) {
int pageRowsCnt = page.rowsInPage();
if (pageRowsCnt != 0) addPage0(page);
Counter cnt = remainingRows.get(page.source());
int allRows = page.response().allRows();
if (allRows
!= -1) { // Only the first page contains allRows count and is allowed to init counter.
assert !cnt.initialized : "Counter is already initialized.";
cnt.addAndGet(allRows);
expRowsCnt.addAndGet(allRows);
// We need this separate flag to handle case when the first source contains only one page
// and it will signal that all remaining counters are zero and fetch is finished.
cnt.initialized = true;
}
if (cnt.addAndGet(-pageRowsCnt)
== 0) { // Result can be negative in case of race between messages, it is ok.
boolean last = true;
for (Counter c : remainingRows.values()) { // Check all the sources.
if (c.get() != 0 || !c.initialized) {
last = false;
break;
}
}
if (last && lastSubmitted.compareAndSet(false, true)) {
addPage0(
new GridResultPage(null, page.source(), null) {
@Override
public boolean isLast() {
return true;
}
});
}
}
}
@Override
public void recycleIntBlocks(int[][] blocks, int start, int end) {
final int numBlocks = Math.min(maxBufferedBlocks - freeBlocks, end - start);
final int size = freeBlocks + numBlocks;
if (size >= freeByteBlocks.length) {
final int[][] newBlocks =
new int[ArrayUtil.oversize(size, RamUsageEstimator.NUM_BYTES_OBJECT_REF)][];
System.arraycopy(freeByteBlocks, 0, newBlocks, 0, freeBlocks);
freeByteBlocks = newBlocks;
}
final int stop = start + numBlocks;
for (int i = start; i < stop; i++) {
freeByteBlocks[freeBlocks++] = blocks[i];
blocks[i] = null;
}
for (int i = stop; i < end; i++) {
blocks[i] = null;
}
bytesUsed.addAndGet(-(end - stop) * (blockSize * RamUsageEstimator.NUM_BYTES_INT));
assert bytesUsed.get() >= 0;
}
public static int countWords() throws IOException {
String contents =
new String(
Files.readAllBytes(Paths.get("./src/ch2/ex01/alice.txt")), StandardCharsets.UTF_8);
List<String> words = Arrays.asList(contents.split("[\\P{L}]+"));
// 単一カウンターを用いるとincrement毎に排他制御が必要なため、個々の結果を合算する
Counter counter = new Counter();
final int GROUP_NUM = 4;
List<Thread> threads = new ArrayList<Thread>(GROUP_NUM);
for (int i = 0; i < GROUP_NUM; i++) {
List<String> list = words.subList(words.size() / 4 * i, words.size() / 4 * (i + 1));
threads.add(
new Thread(
() -> {
int count = 0;
for (String w : list) {
if (w.length() > 12) count++;
}
counter.add(count);
},
Integer.toString(i)));
}
for (Thread t : threads) t.start();
for (Thread t : threads) {
try {
t.join();
} catch (InterruptedException e) {
e.printStackTrace();
}
}
return counter.get();
}
public SparseMatrix stochasticizeRows() {
SparseMatrix stochasticMat = new SparseMatrix(this.rowDim, this.colDim);
double[] rowSums = new double[this.rowDim];
for (int r : this.rows) {
Counter row = this.getRow(r);
for (int c : row.keySet()) {
rowSums[r] += row.get(c);
}
}
for (int r : this.rows) {
Counter row = this.getRow(r);
for (int c : row.keySet()) {
double value = 0;
if (rowSums[r] != 0) {
// if(true){
value = this.get(r, c) / rowSums[r];
}
stochasticMat.set(r, c, value);
}
}
return stochasticMat;
}
public static Counter TopEig(SparseMatrix mat) {
double trimEps = 0.0;
int iterLimit = 1000;
long start;
long end;
Counter vector = new Counter();
int vecLen = mat.colDim;
// for(int i = 0; i < vecLen; i++){
// vector.add(i, Math.random()-0.5);
// }
for (int i = 0; i < vecLen; i++) {
vector.add(i, 1.0 / (double) vecLen);
}
Counter oldVector = new Counter(vector);
vector = mat.multiply(vector);
double diff = 1;
int t = 0;
start = System.currentTimeMillis();
while (diff > Math.pow(10.0, -10.0) && (diff < 3.99999 || diff > 4.00001) && t < iterLimit) {
t += 1;
vector.trimKeys(trimEps);
vector = mat.multiply(vector);
double norm = 0;
for (int i : vector.keySet()) {
norm += vector.get(i) * vector.get(i);
// norm += Math.abs(vector.get(i));
}
norm = Math.sqrt(norm);
vector.multiply(1.0 / norm);
diff = 0;
Set<Integer> vecOldUnion = vector.concreteKeySet();
vecOldUnion.addAll(oldVector.concreteKeySet());
for (int i : vecOldUnion) {
diff += (oldVector.get(i) - vector.get(i)) * (oldVector.get(i) - vector.get(i));
}
System.out.println(diff + " " + norm);
// System.out.println(vector.toString());
// System.out.println(oldVector.toString());
oldVector = new Counter(vector);
}
// System.out.println(mat.toStringValues());
end = System.currentTimeMillis();
System.out.println("Time: " + (end - start) + " iterations: " + t);
return vector;
}
/** @return the number of bytes currently allocated by this {@link Allocator} */
public long bytesUsed() {
return bytesUsed.get();
}
public double get(int r, int c) {
Counter row = this.getRow(r);
double v = row.get(c);
return v;
}
public double getEncoderRaw() {
return shooterEncoder.get();
}