List of usage examples for java.util PriorityQueue PriorityQueue
public PriorityQueue()
From source file:Main.java
public static void main(String args[]) { PriorityQueue<Integer> prq = new PriorityQueue<Integer>(); for (int i = 0; i < 10; i++) { prq.add(i);/* w ww. j a va2 s. co m*/ } // create iterator from the queue Iterator it = prq.iterator(); while (it.hasNext()) { System.out.println("Value: " + it.next()); } }
From source file:Main.java
public static void main(String args[]) { PriorityQueue<Integer> prq = new PriorityQueue<Integer>(); // insert values in the queue prq.add(1);//from www .j a v a 2s . c om prq.add(2); prq.add(3); prq.add(6); prq.add(5); System.out.println(prq); // create comparator Comparator comp = prq.comparator(); System.out.println("Comparator value is: " + comp); }
From source file:PriorityQueueTest.java
public static void main(String[] args) { PriorityQueue<GregorianCalendar> pq = new PriorityQueue<GregorianCalendar>(); pq.add(new GregorianCalendar(1906, Calendar.DECEMBER, 9)); // G. Hopper pq.add(new GregorianCalendar(1815, Calendar.DECEMBER, 10)); // A. Lovelace pq.add(new GregorianCalendar(1903, Calendar.DECEMBER, 3)); // J. von Neumann pq.add(new GregorianCalendar(1910, Calendar.JUNE, 22)); // K. Zuse System.out.println("Iterating over elements..."); for (GregorianCalendar date : pq) System.out.println(date.get(Calendar.YEAR)); System.out.println("Removing elements..."); while (!pq.isEmpty()) System.out.println(pq.remove().get(Calendar.YEAR)); }
From source file:SequentialPageRank.java
@SuppressWarnings({ "static-access" }) public static void main(String[] args) throws IOException { Options options = new Options(); options.addOption(OptionBuilder.withArgName("path").hasArg().withDescription("input path").create(INPUT)); options.addOption(/*from w w w .java 2s . c o m*/ OptionBuilder.withArgName("val").hasArg().withDescription("random jump factor").create(JUMP)); CommandLine cmdline = null; CommandLineParser parser = new GnuParser(); try { cmdline = parser.parse(options, args); } catch (ParseException exp) { System.err.println("Error parsing command line: " + exp.getMessage()); System.exit(-1); } if (!cmdline.hasOption(INPUT)) { System.out.println("args: " + Arrays.toString(args)); HelpFormatter formatter = new HelpFormatter(); formatter.setWidth(120); formatter.printHelp(SequentialPageRank.class.getName(), options); ToolRunner.printGenericCommandUsage(System.out); System.exit(-1); } String infile = cmdline.getOptionValue(INPUT); float alpha = cmdline.hasOption(JUMP) ? Float.parseFloat(cmdline.getOptionValue(JUMP)) : 0.15f; int edgeCnt = 0; DirectedSparseGraph<String, Integer> graph = new DirectedSparseGraph<String, Integer>(); BufferedReader data = new BufferedReader(new InputStreamReader(new FileInputStream(infile))); String line; while ((line = data.readLine()) != null) { line.trim(); String[] arr = line.split("\\t"); for (int i = 1; i < arr.length; i++) { graph.addEdge(new Integer(edgeCnt++), arr[0], arr[i]); } } data.close(); WeakComponentClusterer<String, Integer> clusterer = new WeakComponentClusterer<String, Integer>(); Set<Set<String>> components = clusterer.transform(graph); int numComponents = components.size(); System.out.println("Number of components: " + numComponents); System.out.println("Number of edges: " + graph.getEdgeCount()); System.out.println("Number of nodes: " + graph.getVertexCount()); System.out.println("Random jump factor: " + alpha); // Compute PageRank. PageRank<String, Integer> ranker = new PageRank<String, Integer>(graph, alpha); ranker.evaluate(); // Use priority queue to sort vertices by PageRank values. PriorityQueue<Ranking<String>> q = new PriorityQueue<Ranking<String>>(); int i = 0; for (String pmid : graph.getVertices()) { q.add(new Ranking<String>(i++, ranker.getVertexScore(pmid), pmid)); } // Print PageRank values. System.out.println("\nPageRank of nodes, in descending order:"); Ranking<String> r = null; while ((r = q.poll()) != null) { System.out.println(r.rankScore + "\t" + r.getRanked()); } }
From source file:org.apache.flink.benchmark.Runner.java
public static void main(String[] args) throws Exception { final ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment(); env.getConfig().enableObjectReuse(); env.getConfig().disableSysoutLogging(); ParameterTool parameters = ParameterTool.fromArgs(args); if (!(parameters.has("p") && parameters.has("types") && parameters.has("algorithms"))) { printUsage();//from w ww . j ava2 s .c o m System.exit(-1); } int parallelism = parameters.getInt("p"); env.setParallelism(parallelism); Set<IdType> types = new HashSet<>(); if (parameters.get("types").equals("all")) { types.add(IdType.INT); types.add(IdType.LONG); types.add(IdType.STRING); } else { for (String type : parameters.get("types").split(",")) { if (type.toLowerCase().equals("int")) { types.add(IdType.INT); } else if (type.toLowerCase().equals("long")) { types.add(IdType.LONG); } else if (type.toLowerCase().equals("string")) { types.add(IdType.STRING); } else { printUsage(); throw new RuntimeException("Unknown type: " + type); } } } Queue<RunnerWithScore> queue = new PriorityQueue<>(); if (parameters.get("algorithms").equals("all")) { for (Map.Entry<String, Class> entry : AVAILABLE_ALGORITHMS.entrySet()) { for (IdType type : types) { AlgorithmRunner runner = (AlgorithmRunner) entry.getValue().newInstance(); runner.initialize(type, SAMPLES, parallelism); runner.warmup(env); queue.add(new RunnerWithScore(runner, 1.0)); } } } else { for (String algorithm : parameters.get("algorithms").split(",")) { double ratio = 1.0; if (algorithm.contains("=")) { String[] split = algorithm.split("="); algorithm = split[0]; ratio = Double.parseDouble(split[1]); } if (AVAILABLE_ALGORITHMS.containsKey(algorithm.toLowerCase())) { Class clazz = AVAILABLE_ALGORITHMS.get(algorithm.toLowerCase()); for (IdType type : types) { AlgorithmRunner runner = (AlgorithmRunner) clazz.newInstance(); runner.initialize(type, SAMPLES, parallelism); runner.warmup(env); queue.add(new RunnerWithScore(runner, ratio)); } } else { printUsage(); throw new RuntimeException("Unknown algorithm: " + algorithm); } } } JsonFactory factory = new JsonFactory(); while (queue.size() > 0) { RunnerWithScore current = queue.poll(); AlgorithmRunner runner = current.getRunner(); StringWriter writer = new StringWriter(); JsonGenerator gen = factory.createGenerator(writer); gen.writeStartObject(); gen.writeStringField("algorithm", runner.getClass().getSimpleName()); boolean running = true; while (running) { try { runner.run(env, gen); running = false; } catch (ProgramInvocationException e) { // only suppress job cancellations if (!(e.getCause() instanceof JobCancellationException)) { throw e; } } } JobExecutionResult result = env.getLastJobExecutionResult(); long runtime_ms = result.getNetRuntime(); gen.writeNumberField("runtime_ms", runtime_ms); current.credit(runtime_ms); if (!runner.finished()) { queue.add(current); } gen.writeObjectFieldStart("accumulators"); for (Map.Entry<String, Object> accumulatorResult : result.getAllAccumulatorResults().entrySet()) { gen.writeStringField(accumulatorResult.getKey(), accumulatorResult.getValue().toString()); } gen.writeEndObject(); gen.writeEndObject(); gen.close(); System.out.println(writer.toString()); } }
From source file:SequentialPersonalizedPageRank.java
@SuppressWarnings({ "static-access" }) public static void main(String[] args) throws IOException { Options options = new Options(); options.addOption(OptionBuilder.withArgName("path").hasArg().withDescription("input path").create(INPUT)); options.addOption(/*from ww w . j av a 2 s. c om*/ OptionBuilder.withArgName("val").hasArg().withDescription("random jump factor").create(JUMP)); options.addOption(OptionBuilder.withArgName("node").hasArg() .withDescription("source node (i.e., destination of the random jump)").create(SOURCE)); CommandLine cmdline = null; CommandLineParser parser = new GnuParser(); try { cmdline = parser.parse(options, args); } catch (ParseException exp) { System.err.println("Error parsing command line: " + exp.getMessage()); System.exit(-1); } if (!cmdline.hasOption(INPUT) || !cmdline.hasOption(SOURCE)) { System.out.println("args: " + Arrays.toString(args)); HelpFormatter formatter = new HelpFormatter(); formatter.setWidth(120); formatter.printHelp(SequentialPersonalizedPageRank.class.getName(), options); ToolRunner.printGenericCommandUsage(System.out); System.exit(-1); } String infile = cmdline.getOptionValue(INPUT); final String source = cmdline.getOptionValue(SOURCE); float alpha = cmdline.hasOption(JUMP) ? Float.parseFloat(cmdline.getOptionValue(JUMP)) : 0.15f; int edgeCnt = 0; DirectedSparseGraph<String, Integer> graph = new DirectedSparseGraph<String, Integer>(); BufferedReader data = new BufferedReader(new InputStreamReader(new FileInputStream(infile))); String line; while ((line = data.readLine()) != null) { line.trim(); String[] arr = line.split("\\t"); for (int i = 1; i < arr.length; i++) { graph.addEdge(new Integer(edgeCnt++), arr[0], arr[i]); } } data.close(); if (!graph.containsVertex(source)) { System.err.println("Error: source node not found in the graph!"); System.exit(-1); } WeakComponentClusterer<String, Integer> clusterer = new WeakComponentClusterer<String, Integer>(); Set<Set<String>> components = clusterer.transform(graph); int numComponents = components.size(); System.out.println("Number of components: " + numComponents); System.out.println("Number of edges: " + graph.getEdgeCount()); System.out.println("Number of nodes: " + graph.getVertexCount()); System.out.println("Random jump factor: " + alpha); // Compute personalized PageRank. PageRankWithPriors<String, Integer> ranker = new PageRankWithPriors<String, Integer>(graph, new Transformer<String, Double>() { @Override public Double transform(String vertex) { return vertex.equals(source) ? 1.0 : 0; } }, alpha); ranker.evaluate(); // Use priority queue to sort vertices by PageRank values. PriorityQueue<Ranking<String>> q = new PriorityQueue<Ranking<String>>(); int i = 0; for (String pmid : graph.getVertices()) { q.add(new Ranking<String>(i++, ranker.getVertexScore(pmid), pmid)); } // Print PageRank values. System.out.println("\nPageRank of nodes, in descending order:"); Ranking<String> r = null; while ((r = q.poll()) != null) { System.out.println(r.rankScore + "\t" + r.getRanked()); } }
From source file:edu.umd.shrawanraina.SequentialPersonalizedPageRank.java
@SuppressWarnings({ "static-access" }) public static void main(String[] args) throws IOException { Options options = new Options(); options.addOption(OptionBuilder.withArgName("path").hasArg().withDescription("input path").create(INPUT)); options.addOption(//from w ww .j a v a 2 s . c o m OptionBuilder.withArgName("val").hasArg().withDescription("random jump factor").create(JUMP)); options.addOption(OptionBuilder.withArgName("node").hasArg() .withDescription("source node (i.e., destination of the random jump)").create(SOURCE)); CommandLine cmdline = null; CommandLineParser parser = new GnuParser(); try { cmdline = parser.parse(options, args); } catch (ParseException exp) { System.err.println("Error parsing command line: " + exp.getMessage()); System.exit(-1); } if (!cmdline.hasOption(INPUT) || !cmdline.hasOption(SOURCE)) { System.out.println("args: " + Arrays.toString(args)); HelpFormatter formatter = new HelpFormatter(); formatter.setWidth(120); formatter.printHelp(SequentialPersonalizedPageRank.class.getName(), options); ToolRunner.printGenericCommandUsage(System.out); System.exit(-1); } String infile = cmdline.getOptionValue(INPUT); final String source = cmdline.getOptionValue(SOURCE); float alpha = cmdline.hasOption(JUMP) ? Float.parseFloat(cmdline.getOptionValue(JUMP)) : 0.15f; int edgeCnt = 0; DirectedSparseGraph<String, Integer> graph = new DirectedSparseGraph<String, Integer>(); BufferedReader data = new BufferedReader(new InputStreamReader(new FileInputStream(infile))); String line; while ((line = data.readLine()) != null) { line.trim(); String[] arr = line.split("\\t"); for (int i = 1; i < arr.length; i++) { graph.addEdge(new Integer(edgeCnt++), arr[0], arr[i]); } } data.close(); if (!graph.containsVertex(source)) { System.err.println("Error: source node not found in the graph!"); System.exit(-1); } WeakComponentClusterer<String, Integer> clusterer = new WeakComponentClusterer<String, Integer>(); Set<Set<String>> components = clusterer.transform(graph); int numComponents = components.size(); System.out.println("Number of components: " + numComponents); System.out.println("Number of edges: " + graph.getEdgeCount()); System.out.println("Number of nodes: " + graph.getVertexCount()); System.out.println("Random jump factor: " + alpha); // Compute personalized PageRank. PageRankWithPriors<String, Integer> ranker = new PageRankWithPriors<String, Integer>(graph, new Transformer<String, Double>() { public Double transform(String vertex) { return vertex.equals(source) ? 1.0 : 0; } }, alpha); ranker.evaluate(); // Use priority queue to sort vertices by PageRank values. PriorityQueue<Ranking<String>> q = new PriorityQueue<Ranking<String>>(); int i = 0; for (String pmid : graph.getVertices()) { q.add(new Ranking<String>(i++, ranker.getVertexScore(pmid), pmid)); } // Print PageRank values. System.out.println("\nPageRank of nodes, in descending order:"); Ranking<String> r = null; while ((r = q.poll()) != null) { System.out.println(r.rankScore + "\t" + r.getRanked()); } }
From source file:Main.java
public static <E> PriorityQueue<E> getPriorityQueue() { return new PriorityQueue<E>(); }
From source file:Main.java
public static <E> PriorityQueue<E> createPriorityQueue() { return new PriorityQueue<E>(); }
From source file:Main.java
public static <E> PriorityQueue<E> newPriorityQueue() { return new PriorityQueue<E>(); }