Example usage for java.io PrintWriter close

Introduction

In this page you can find the example usage for java.io PrintWriter close.

Prototype

public void close() 

Source Link

Document

Closes the stream and releases any system resources associated with it.

Usage

From source file:PrintWriterDemo.java

public static void main() throws Exception {
    PrintWriter pw = new PrintWriter(new FileWriter("dice.txt"));
    for (int i = 1; i <= 1000; i++) {
        int die = (int) (1 + 6 * Math.random());
        pw.print(die);//from  w ww  .  j  a  va2s  .c o  m
        pw.print(' ');
        if (i % 20 == 0)
            pw.println();
    }
    pw.println();
    pw.close(); // Without this, the output file may be empty
}

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From source file:com.justgiving.raven.kissmetrics.utils.KissmetricsLocalSchemaExtractor.java

/****
 * This function parses all the json record files in a folder and returns a counts of the total occurrences of keys
 * in all files//from  ww  w .j  a v a 2s  .co m
 * 
 * @param inputFolder
 * @param outputFolder
 * @throws IOException
 */
private static void countKeysInJsonRecordsFolder(String inputFolder, String outputFile) throws IOException {
    File folder = new File(inputFolder);
    File[] listOfFiles = folder.listFiles();
    KeyValueCounter totalKeyValueCounter = new KeyValueCounter();
    KeyValueCounter currentKeyValueCounter = new KeyValueCounter();
    for (File currentFile : listOfFiles) {
        if (currentFile.isFile()) {
            logger.info("Processing file: " + currentFile.getName());
            currentKeyValueCounter = countKeysInJsonRecordsFile(
                    Paths.get(inputFolder, currentFile.getName()).toString());
            totalKeyValueCounter = deepMergeKeyValueCounter(totalKeyValueCounter, currentKeyValueCounter);
        } else if (currentFile.isDirectory()) {
            logger.warn("Sub-directory folders are currently ignored");
        }
    }
    //System.out.println(totalKeyCounter.toString());
    logger.info("---------------");
    logger.info(sortOutputByKey(totalKeyValueCounter));
    logger.info("saving output to file: ");
    File outpuFile = new File(outputFile);
    outpuFile.getParentFile().mkdirs();
    PrintWriter out = new PrintWriter(outputFile);
    out.print(sortOutputByKey(totalKeyValueCounter));
    out.close();
}

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From source file:com.progressiveaccess.cmlspeech.base.FileHandler.java

/**
 * Writes a document to a CML file.//  w ww. j ava2 s .  c om
 *
 * @param doc
 *          The output document.
 * @param fileName
 *          The base filename.
 * @param extension
 *          The additional extension.
 *
 * @throws IOException
 *           Problems with opening output file.
 * @throws CDKException
 *           Problems with writing the CML XOM.
 */
public static void writeFile(final Document doc, final String fileName, final String extension)
        throws IOException, CDKException {
    final String basename = FilenameUtils.getBaseName(fileName);
    final OutputStream outFile = new BufferedOutputStream(
            new FileOutputStream(basename + "-" + extension + ".cml"));
    final PrintWriter output = new PrintWriter(outFile);
    output.write(XOMUtil.toPrettyXML(doc));
    output.flush();
    output.close();
}

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From source file:io.proleap.vb6.TestGenerator.java

public static void generateTreeFile(final File vb6InputFile, final File outputDirectory) throws IOException {
    final File outputFile = new File(outputDirectory + "/" + vb6InputFile.getName() + TREE_EXTENSION);

    final boolean createdNewFile = outputFile.createNewFile();

    if (createdNewFile) {
        LOG.info("Creating tree file {}.", outputFile);

        final InputStream inputStream = new FileInputStream(vb6InputFile);
        final VisualBasic6Lexer lexer = new VisualBasic6Lexer(new ANTLRInputStream(inputStream));
        final CommonTokenStream tokens = new CommonTokenStream(lexer);
        final VisualBasic6Parser parser = new VisualBasic6Parser(tokens);
        final StartRuleContext startRule = parser.startRule();
        final String inputFileTree = TreeUtils.toStringTree(startRule, parser);

        final PrintWriter pWriter = new PrintWriter(new FileWriter(outputFile));

        pWriter.write(inputFileTree);/*  w  w  w.  jav a  2  s . c o  m*/
        pWriter.flush();
        pWriter.close();
    }
}

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From source file:ISMAGS.CommandLineInterface.java

private static void printMotifs(Set<MotifInstance> motifs, String output) throws IOException {
    PrintWriter out = new PrintWriter(new File(output));
    for (MotifInstance m : motifs) {
        out.println(m);//from   w w  w. j  a va 2s.  c o m
    }
    out.close();
}

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From source file:gov.nist.appvet.tool.sigverifier.util.ReportUtil.java

/**
 * This method returns report information to the AppVet ToolAdapter as ASCII
 * text and cannot attach a file to the response.
 *///from w  w w.ja v a  2  s. c o  m
public static boolean sendInHttpResponse(HttpServletResponse response, String reportText,
        ToolStatus reportStatus) {
    try {
        response.setStatus(HttpServletResponse.SC_OK); // HTTP 200
        response.setContentType("text/html");
        response.setHeader("toolrisk", reportStatus.name());
        PrintWriter out = response.getWriter();
        out.println(reportText);
        out.flush();
        out.close();
        log.debug("Returned report");
        return true;
    } catch (IOException e) {
        log.error(e.toString());
        return false;
    }
}

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From source file:GoogleAPI.java

/**
 * Forms an HTTP request, sends it using POST method and returns the result of the request as a JSONObject.
 * /* w  ww  .ja v  a 2 s .  c  o m*/
 * @param url The URL to query for a JSONObject.
 * @param parameters Additional POST parameters
 * @return The translated String.
 * @throws Exception on error.
 */
protected static JSONObject retrieveJSON(final URL url, final String parameters) throws Exception {
    try {
        final HttpURLConnection uc = (HttpURLConnection) url.openConnection();
        uc.setRequestProperty("referer", referrer);
        uc.setRequestMethod("POST");
        uc.setDoOutput(true);

        final PrintWriter pw = new PrintWriter(uc.getOutputStream());
        pw.write(parameters);
        pw.close();
        uc.getOutputStream().close();

        try {
            final String result = inputStreamToString(uc.getInputStream());

            return new JSONObject(result);
        } finally { // http://java.sun.com/j2se/1.5.0/docs/guide/net/http-keepalive.html
            if (uc.getInputStream() != null) {
                uc.getInputStream().close();
            }
            if (uc.getErrorStream() != null) {
                uc.getErrorStream().close();
            }
            if (pw != null) {
                pw.close();
            }
        }
    } catch (Exception ex) {
        throw new Exception("[google-api-translate-java] Error retrieving translation.", ex);
    }
}

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From source file:com.google.enterprise.connector.importexport.ImportExport.java

/**
 * Writes a list of connectors to an XML file.
 *
 * @param connectors an ImportExportConnectorList
 * @param filename destination XML file for connectors.
 *//*from ww  w .j a v  a 2 s  . c  o m*/
public static void writeToFile(String filename, ImportExportConnectorList connectors) throws IOException {
    PrintWriter out = new PrintWriter(new OutputStreamWriter(new FileOutputStream(filename), "UTF-8"));
    connectors.toXml(out, 0);
    out.close();
}

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From source file:StringUtils.java

/**
 * Convert an exception to a String with full stack trace
 * @param ex the exception//from   www.j a  v  a2  s.c  o m
 * @return a String with the full stacktrace error text
 */
public static String getStringFromStackTrace(Throwable ex) {
    if (ex == null) {
        return "";
    }
    StringWriter str = new StringWriter();
    PrintWriter writer = new PrintWriter(str);
    try {
        ex.printStackTrace(writer);
        return str.getBuffer().toString();
    } finally {
        try {
            str.close();
            writer.close();
        } catch (IOException e) {
            //ignore
        }
    }
}

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From source file:ch.epfl.lsir.xin.test.UserBasedCFTest.java

/**
 * @param args//from   w w  w . j  a  v a 2s  .  c  om
 */
public static void main(String[] args) throws Exception {
    // TODO Auto-generated method stub

    PrintWriter logger = new PrintWriter(".//results//UserBasedCF");
    PropertiesConfiguration config = new PropertiesConfiguration();
    config.setFile(new File(".//conf//UserBasedCF.properties"));
    try {
        config.load();
    } catch (ConfigurationException e) {
        // TODO Auto-generated catch block
        e.printStackTrace();
    }

    logger.println(new SimpleDateFormat("yyyy-MM-dd HH:mm:ss").format(new Date()) + " Read rating data...");
    DataLoaderFile loader = new DataLoaderFile(".//data//MoveLens100k.txt");
    loader.readSimple();
    DataSetNumeric dataset = loader.getDataset();
    System.out.println("Number of ratings: " + dataset.getRatings().size() + " Number of users: "
            + dataset.getUserIDs().size() + " Number of items: " + dataset.getItemIDs().size());
    logger.println("Number of ratings: " + dataset.getRatings().size() + ", Number of users: "
            + dataset.getUserIDs().size() + ", Number of items: " + dataset.getItemIDs().size());
    logger.flush();

    double totalMAE = 0;
    double totalRMSE = 0;
    double totalPrecision = 0;
    double totalRecall = 0;
    double totalMAP = 0;
    double totalNDCG = 0;
    double totalMRR = 0;
    double totalAUC = 0;
    int F = 5;
    logger.println(F + "- folder cross validation.");
    ArrayList<ArrayList<NumericRating>> folders = new ArrayList<ArrayList<NumericRating>>();
    for (int i = 0; i < F; i++) {
        folders.add(new ArrayList<NumericRating>());
    }
    while (dataset.getRatings().size() > 0) {
        int index = new Random().nextInt(dataset.getRatings().size());
        int r = new Random().nextInt(F);
        folders.get(r).add(dataset.getRatings().get(index));
        dataset.getRatings().remove(index);
    }

    for (int folder = 1; folder <= F; folder++) {
        logger.println("Folder: " + folder);
        System.out.println("Folder: " + folder);
        ArrayList<NumericRating> trainRatings = new ArrayList<NumericRating>();
        ArrayList<NumericRating> testRatings = new ArrayList<NumericRating>();
        for (int i = 0; i < folders.size(); i++) {
            if (i == folder - 1)//test data
            {
                testRatings.addAll(folders.get(i));
            } else {//training data
                trainRatings.addAll(folders.get(i));
            }
        }

        //create rating matrix
        HashMap<String, Integer> userIDIndexMapping = new HashMap<String, Integer>();
        HashMap<String, Integer> itemIDIndexMapping = new HashMap<String, Integer>();
        for (int i = 0; i < dataset.getUserIDs().size(); i++) {
            userIDIndexMapping.put(dataset.getUserIDs().get(i), i);
        }
        for (int i = 0; i < dataset.getItemIDs().size(); i++) {
            itemIDIndexMapping.put(dataset.getItemIDs().get(i), i);
        }
        RatingMatrix trainRatingMatrix = new RatingMatrix(dataset.getUserIDs().size(),
                dataset.getItemIDs().size());
        for (int i = 0; i < trainRatings.size(); i++) {
            trainRatingMatrix.set(userIDIndexMapping.get(trainRatings.get(i).getUserID()),
                    itemIDIndexMapping.get(trainRatings.get(i).getItemID()), trainRatings.get(i).getValue());
        }
        trainRatingMatrix.calculateGlobalAverage();
        trainRatingMatrix.calculateUsersMean();
        RatingMatrix testRatingMatrix = new RatingMatrix(dataset.getUserIDs().size(),
                dataset.getItemIDs().size());
        for (int i = 0; i < testRatings.size(); i++) {
            //            if( testRatings.get(i).getValue() < 5 )
            //               continue;
            testRatingMatrix.set(userIDIndexMapping.get(testRatings.get(i).getUserID()),
                    itemIDIndexMapping.get(testRatings.get(i).getItemID()), testRatings.get(i).getValue());
        }
        logger.println("Initialize a user based collaborative filtering recommendation model.");
        UserBasedCF algo = new UserBasedCF(trainRatingMatrix, false,
                ".//localModels//" + config.getString("NAME"));
        algo.setLogger(logger);
        algo.build();//if read local model, no need to build the model
        algo.saveModel(".//localModels//" + config.getString("NAME"));
        logger.println("Save the model.");
        System.out.println(trainRatings.size() + " vs. " + testRatings.size());
        logger.flush();

        //rating prediction accuracy
        double RMSE = 0;
        double MAE = 0;
        double precision = 0;
        double recall = 0;
        double map = 0;
        double ndcg = 0;
        double mrr = 0;
        double auc = 0;
        int count = 0;
        for (int i = 0; i < testRatings.size(); i++) {
            NumericRating rating = testRatings.get(i);
            double prediction = algo.predict(userIDIndexMapping.get(rating.getUserID()),
                    itemIDIndexMapping.get(rating.getItemID()), false);

            if (Double.isNaN(prediction)) {
                System.out.println("no prediction");
                continue;
            }
            if (prediction > algo.getMaxRating())
                prediction = algo.getMaxRating();
            if (prediction < algo.getMinRating())
                prediction = algo.getMinRating();
            MAE = MAE + Math.abs(rating.getValue() - prediction);
            RMSE = RMSE + Math.pow((rating.getValue() - prediction), 2);
            count++;
        }
        MAE = MAE / count;
        RMSE = Math.sqrt(RMSE / count);
        totalMAE = totalMAE + MAE;
        totalRMSE = totalRMSE + RMSE;
        System.out.println("Folder --- MAE: " + MAE + " RMSE: " + RMSE);
        logger.println(new SimpleDateFormat("yyyy-MM-dd HH:mm:ss").format(new Date()) + " Folder --- MAE: "
                + MAE + " RMSE: " + RMSE);
        logger.flush();
        //ranking accuracy
        if (algo.getTopN() > 0) {
            HashMap<Integer, ArrayList<ResultUnit>> results = new HashMap<Integer, ArrayList<ResultUnit>>();
            for (int i = 0; i < testRatingMatrix.getRow(); i++) {
                ArrayList<ResultUnit> rec = algo.getRecommendationList(i);
                if (rec == null)
                    continue;
                int total = testRatingMatrix.getUserRatingNumber(i);
                if (total == 0)//this user is ignored
                    continue;
                results.put(i, rec);
                //               for( Map.Entry<Integer, Double> entry : testRatingMatrix.getRatingMatrix().get(i).entrySet() )
                //               {
                //                  System.out.print( entry.getKey() + "(" + entry.getValue() + ") , ");
                //               }
                //               System.out.println();
                //               for( int j = 0 ; j < rec.size() ; j++ )
                //               {
                //                  System.out.print(rec.get(j).getItemIndex() + "(" + rec.get(j).getPrediciton() +
                //                        ") , ");
                //               }
                //               System.out.println("**********");
            }
            RankResultGenerator generator = new RankResultGenerator(results, algo.getTopN(), testRatingMatrix,
                    trainRatingMatrix);
            precision = generator.getPrecisionN();
            totalPrecision = totalPrecision + precision;
            recall = generator.getRecallN();
            totalRecall = totalRecall + recall;
            map = generator.getMAPN();
            totalMAP = totalMAP + map;
            ndcg = generator.getNDCGN();
            totalNDCG = totalNDCG + ndcg;
            mrr = generator.getMRRN();
            totalMRR = totalMRR + mrr;
            auc = generator.getAUC();
            totalAUC = totalAUC + auc;
            System.out.println("Folder --- precision: " + precision + " recall: " + recall + " map: " + map
                    + " ndcg: " + ndcg + " mrr: " + mrr + " auc: " + auc);
            logger.println("Folder --- precision: " + precision + " recall: " + recall + " map: " + map
                    + " ndcg: " + ndcg + " mrr: " + mrr + " auc: " + auc);
        }
    }

    System.out.println("MAE: " + totalMAE / F + " RMSE: " + totalRMSE / F);
    System.out.println("Precision@N: " + totalPrecision / F);
    System.out.println("Recall@N: " + totalRecall / F);
    System.out.println("MAP@N: " + totalMAP / F);
    System.out.println("MRR@N: " + totalMRR / F);
    System.out.println("NDCG@N: " + totalNDCG / F);
    System.out.println("AUC@N: " + totalAUC / F);
    // MovieLens100k
    //MAE: 0.7343907480119425 RMSE: 0.9405808357192891 (MovieLens 100K, shrinkage 25, neighbor size 60, PCC)
    //MAE: 0.7522376630596646 RMSE: 0.9520931265724659 (MovieLens 100K, no shrinkage , neighbor size 40, COSINE)
    logger.println(new SimpleDateFormat("yyyy-MM-dd HH:mm:ss").format(new Date()) + "\n" + "MAE: "
            + totalMAE / F + " RMSE: " + totalRMSE / F + "\n" + "Precision@N: " + totalPrecision / F + "\n"
            + "Recall@N: " + totalRecall / F + "\n" + "MAP@N: " + totalMAP / F + "\n" + "MRR@N: " + totalMRR / F
            + "\n" + "NDCG@N: " + totalNDCG / F + "\n" + "AUC@N: " + totalAUC / F);
    logger.flush();
    logger.close();

}

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