List of usage examples for java.lang Double parseDouble
public static double parseDouble(String s) throws NumberFormatException
From source file:Main.java
public static void main(String[] args) { String str = "This is a 23.4.123 test."; String[] s = str.split(" "); Pattern p = Pattern.compile("(\\d)+\\.(\\d)+"); double d;/*from w ww . ja va 2 s . co m*/ for (int i = 0; i < s.length; i++) { Matcher m = p.matcher(s[i]); while (m.find()) { d = Double.parseDouble(m.group()); System.out.println(d); } } }
From source file:Main.java
public static void main(String args[]) { SpinnerNumberModel model = new SpinnerNumberModel(0.0, -1000.0, 1000.0, 0.1); JSpinner s = new JSpinner(model); JSpinner.NumberEditor editor = new JSpinner.NumberEditor(s); s.setEditor(editor);// w w w.jav a 2s . c o m JTextField stepText = new JTextField(10); JButton bStepSet = new JButton("Set Step"); bStepSet.addActionListener(e -> { Double val = Double.parseDouble(stepText.getText().trim()); model.setStepSize(val); }); JFrame f = new JFrame(); Container c = f.getContentPane(); c.add(s); JPanel southPanel = new JPanel(); southPanel.add(stepText); southPanel.add(bStepSet); c.add(southPanel, BorderLayout.SOUTH); f.pack(); f.setDefaultCloseOperation(JFrame.EXIT_ON_CLOSE); f.setVisible(true); }
From source file:es.cnio.bioinfo.bicycle.BinomialAnnotator.java
public static void main(String[] args) throws IOException, MathException { BufferedReader in = new BufferedReader(new InputStreamReader(System.in)); double p = Double.parseDouble(args[0]); String line = null;/*w w w.j a v a 2 s.co m*/ while ((line = in.readLine()) != null) { String[] tokens = line.split("\t"); int reads = Integer.parseInt(tokens[5]); int cCount = Integer.parseInt(tokens[4]); BinomialDistribution binomial = new BinomialDistributionImpl(reads, p); double pval = (reads == 0) ? 1.0d : (1.0d - binomial.cumulativeProbability(cCount - 1)); if (System.out.checkError()) { System.exit(1); } System.out.println(line + "\t" + pval); } }
From source file:edu.berkeley.compbio.phyloutils.NearestNodeFinder.java
public static void main(String[] argv) throws IOException, NoSuchNodeException { //service.setGreengenesRawFilename(argv[0]); service.setHugenholtzFilename(argv[0]); //service.setSynonymService(NcbiTaxonomyClient.getInstance()); service.init();/*from w w w. ja va 2s. c o m*/ final int[] targetIds = IntArrayReader.read(argv[1]); int[] queryIds = IntArrayReader.read(argv[2]); final double minDistance = Double.parseDouble(argv[3]); // implement leave-one-out at any level Map<Integer, Double> results = Parallel.map(new ArrayIterator(queryIds), new Function<Integer, Double>() { public Double apply(Integer queryId) { try { double best = Double.MAX_VALUE; for (int targetId : targetIds) { double d = service.minDistanceBetween(queryId, targetId); if (d >= minDistance) { best = Math.min(best, d); } } return best; } catch (NoSuchNodeException e) { throw new Error(e); } } }); String outfileName = argv[4]; PrintWriter out = new PrintWriter(outfileName); out.println("id\tdist"); for (Map.Entry<Integer, Double> entry : results.entrySet()) { out.println(entry.getKey() + "\t" + entry.getValue()); } out.close(); }
From source file:History.PieChart_DB.java
public static void main(String[] args) throws Exception { String mobilebrands[] = { "IPhone 5s", "SamSung Grand", "MotoG", "Nokia Lumia" }; int statOfRepair = 0; java.util.Date now = new java.util.Date(); String adminDate = (now.getYear() + 1900) + "-" + (now.getMonth() + 1) + "-" + now.getDate(); /* Create MySQL Database Connection */ Class.forName("com.mysql.jdbc.Driver"); Connection connect = ConnectDatabase.connectDb("win", "win016"); Statement statement = connect.createStatement(); ResultSet resultSet = statement .executeQuery("SELECT COUNT(transID) AS statRepair FROM `Transaction` WHERE dateTime LIKE \'" + adminDate + "%\' AND action LIKE 'Repair'"); DefaultPieDataset dataset = new DefaultPieDataset(); while (resultSet.next()) { dataset.setValue(resultSet.getString("statRepair"), Double.parseDouble(resultSet.getString("unit_sale"))); }/*from ww w .j a v a2 s. com*/ JFreeChart chart = ChartFactory.createPieChart("History", // chart title dataset, // data true, // include legend true, false); int width = 560; /* Width of the image */ int height = 370; /* Height of the image */ File pieChart = new File("Pie_Chart.jpeg"); ChartUtilities.saveChartAsJPEG(pieChart, chart, width, height); }
From source file:com.algoTrader.starter.SimulationStarter.java
public static void main(String[] args) throws ConvergenceException, FunctionEvaluationException { ServiceLocator.serverInstance().init("beanRefFactorySimulation.xml"); if ("simulateWithCurrentParams".equals(args[0])) { ServiceLocator.serverInstance().getSimulationService().simulateWithCurrentParams(); } else if ("optimizeSingleParamLinear".equals(args[0])) { String strategyName = args[1]; for (int i = 2; i < args.length; i++) { String[] params = args[i].split(":"); String parameter = params[0]; double min = Double.parseDouble(params[1]); double max = Double.parseDouble(params[2]); double increment = Double.parseDouble(params[3]); ServiceLocator.serverInstance().getSimulationService().optimizeSingleParamLinear(strategyName, parameter, min, max, increment); }// w w w. ja v a 2 s.c o m } ServiceLocator.serverInstance().shutdown(); }
From source file:PCC.java
/** * @param args the command line arguments * @throws java.io.IOException//www .ja va 2 s . co m */ public static void main(String[] args) throws IOException { // TODO code application logic here PearsonsCorrelation corel = new PearsonsCorrelation(); PCC method = new PCC(); ArrayList<String> name = new ArrayList<>(); Multimap<String, String> genes = ArrayListMultimap.create(); BufferedWriter bw = new BufferedWriter(new FileWriter(args[1])); BufferedReader br = new BufferedReader(new FileReader(args[0])); String str; while ((str = br.readLine()) != null) { String[] a = str.split("\t"); name.add(a[0]); for (int i = 1; i < a.length; i++) { genes.put(a[0], a[i]); } } for (String key : genes.keySet()) { double[] first = new double[genes.get(key).size()]; int element1 = 0; for (String value : genes.get(key)) { double d = Double.parseDouble(value); first[element1] = d; element1++; } for (String key1 : genes.keySet()) { if (!key.equals(key1)) { double[] second = new double[genes.get(key1).size()]; int element2 = 0; for (String value : genes.get(key1)) { double d = Double.parseDouble(value); second[element2] = d; element2++; } double corrlation = corel.correlation(first, second); if (corrlation > 0.5) { bw.write(key + "\t" + key1 + "\t" + corrlation + "\t" + method.pvalue(corrlation, second.length) + "\n"); } } } } br.close(); bw.close(); }
From source file:akori.Impact.java
static public void main(String[] args) throws IOException { String PATH = "E:\\Trabajos\\AKORI\\datosmatrizgino\\"; String PATHIMG = "E:\\NetBeansProjects\\AKORI\\Proccess_1\\ImagesPages\\"; for (int i = 1; i <= 32; ++i) { for (int k = 1; k <= 15; ++k) { System.out.println("Matrix " + i + "-" + k); BufferedImage img = null; try { img = ImageIO.read(new File(PATHIMG + i + ".png")); } catch (IOException ex) { ex.getStackTrace();/*w ww. java 2 s . co m*/ } int ymax = img.getHeight(); int xmax = img.getWidth(); double[][] imagen = new double[ymax][xmax]; BufferedReader in = null; try { in = new BufferedReader(new FileReader(PATH + i + "-" + k + ".txt")); } catch (FileNotFoundException ex) { ex.getStackTrace(); } String linea; ArrayList<String> lista = new ArrayList<String>(); HashMap<String, String> lista1 = new HashMap<String, String>(); try { for (int j = 0; (linea = in.readLine()) != null; ++j) { String[] datos = linea.split(","); int x = (int) Double.parseDouble(datos[1]); int y = (int) Double.parseDouble(datos[2]); if (x >= xmax || y >= ymax || x <= 0 || y <= 0) { continue; } lista.add(x + "," + y); } } catch (Exception ex) { ex.getStackTrace(); } try { in.close(); } catch (IOException ex) { ex.getStackTrace(); } Iterator iter = lista.iterator(); int[][] matrix = new int[lista.size()][2]; for (int j = 0; iter.hasNext(); ++j) { String xy = (String) iter.next(); String[] datos = xy.split(","); matrix[j][0] = Integer.parseInt(datos[0]); matrix[j][1] = Integer.parseInt(datos[1]); } for (int j = 0; j < matrix.length; ++j) { int std = 50; int x = matrix[j][0]; int y = matrix[j][1]; imagen[y][x] += 1; double aux; normalMatrix(imagen, y, x, std); } FileWriter fw = new FileWriter(PATH + "Matrix" + i + "-" + k + ".txt"); BufferedWriter bw = new BufferedWriter(fw); for (int j = 0; j < imagen.length; ++j) { for (int t = 0; t < imagen[j].length; ++t) { if (t + 1 == imagen[j].length) bw.write(imagen[j][t] + ""); else bw.write(imagen[j][t] + ","); } bw.write("\n"); } bw.close(); } } }
From source file:AverageCost.java
public static void main(String[] args) throws FileNotFoundException, IOException { //Directory of the n files String directory_path = "/home/gauss/rgrunitzki/Dropbox/Profissional/UFRGS/Doutorado/Artigo TRI15/SF Experiments/IQ-Learning/"; BufferedReader reader = null; //Line to analyse String line = ""; String csvDivisor = ";"; int totalLines = 1002; int totalRows = 532; String filesToRead[] = new File(directory_path).list(); Arrays.sort(filesToRead);/* ww w . j a va 2 s . c om*/ System.out.println(filesToRead.length); List<List<DescriptiveStatistics>> summary = new ArrayList<>(); for (int i = 0; i <= totalLines; i++) { summary.add(new ArrayList<DescriptiveStatistics>()); for (int j = 0; j <= totalRows; j++) { summary.get(i).add(new DescriptiveStatistics()); } } //reads all files for (String file : filesToRead) { reader = new BufferedReader(new FileReader(directory_path + file)); int lineCounter = 0; //reads all file's line while ((line = reader.readLine()) != null) { if (lineCounter > 0) { String[] rows = line.trim().split(csvDivisor); //reads all line's row for (int r = 0; r < rows.length; r++) { summary.get(lineCounter).get(r).addValue(Double.parseDouble(rows[r])); } } lineCounter++; } //System.out.println(file.split("/")[file.split("/").length - 1] + csvDivisor + arithmeticMean(avgCost) + csvDivisor + standardDeviation(avgCost)); } //generate mean and standard deviation; for (List<DescriptiveStatistics> summaryLines : summary) { System.out.println(); for (DescriptiveStatistics summaryLineRow : summaryLines) { System.out.print(summaryLineRow.getMean() + ";" + summaryLineRow.getStandardDeviation() + ";"); } } }
From source file:main.java.gov.wa.wsdot.candidate.evaluation.App.java
public static void main(String[] args) { System.out.println("Hello WSDOT ITS 3 Candidate!"); System.out.println("Hello WSDOT ITS 3 Interviewers!"); if (args.length != 3) { System.out.println("Parameters: latitude longitude radius\n"); } else {/*from w w w . j a v a2 s . c o m*/ App app = new App(Double.parseDouble(args[0]), Double.parseDouble(args[1]), Integer.parseInt(args[2])); try { app.run(); } catch (Exception e) { e.printStackTrace(); System.exit(0); } } }