Example usage for java.io File separatorChar

List of usage examples for java.io File separatorChar

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Introduction

In this page you can find the example usage for java.io File separatorChar.

Prototype

char separatorChar

To view the source code for java.io File separatorChar.

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Document

The system-dependent default name-separator character.

Usage

From source file:Main.java

public static void open(File f) {
    char ch = File.separatorChar;
    if (ch == '\\') {
        openWindows(f);/*from w w  w.  j a v  a2s.com*/
    } else {
        try {
            Desktop.getDesktop().open(f);
        } catch (IOException e) {
            // TODO Auto-generated catch block
            e.printStackTrace();
        }
    }
}

From source file:Main.java

public static String asUriFragment(String appName, File fileUnderAppName) {
    String relativePath = asRelativePath(appName, fileUnderAppName);
    String separatorString;//from   ww  w . j a v a  2  s.c  o  m
    if (File.separatorChar == '\\') {
        // Windows Robolectric
        separatorString = File.separator + File.separator;
    } else {
        separatorString = File.separator;
    }
    String[] segments = relativePath.split(separatorString);
    StringBuilder b = new StringBuilder();
    boolean first = true;
    for (String s : segments) {
        if (!first) {
            b.append("/"); // uris have forward slashes
        }
        first = false;
        b.append(s);
    }
    return b.toString();
}

From source file:Main.java

public static void unzip(final InputStream input, final File destFolder) {
    try {// w  ww  .  ja v a2  s  . c  o m
        byte[] buffer = new byte[4096];
        int read;
        ZipInputStream is = new ZipInputStream(input);
        ZipEntry entry;
        while ((entry = is.getNextEntry()) != null) {
            if (!entry.isDirectory()) {
                String fileName = entry.getName();
                File fileFolder = destFolder;
                int lastSep = entry.getName().lastIndexOf(File.separatorChar);
                if (lastSep != -1) {
                    String dirPath = fileName.substring(0, lastSep);
                    fileFolder = new File(fileFolder, dirPath);
                    fileName = fileName.substring(lastSep + 1);
                }
                fileFolder.mkdirs();
                File file = new File(fileFolder, fileName);
                FileOutputStream os = new FileOutputStream(file);
                while ((read = is.read(buffer)) != -1) {
                    os.write(buffer, 0, read);
                }
                os.flush();
                os.close();
            }
        }
        is.close();
    } catch (Exception ex) {
        throw new RuntimeException("Cannot unzip stream to " + destFolder.getAbsolutePath(), ex);
    }
}

From source file:com.us.util.FileHelper.java

/**
 * ??/*w ww  .  j av a 2s .com*/
 * 
 * @param parent 
 * @param fileName ??
 * @return ?
 */
public static File getFile(File parent, String fileName) {
    return new File(parent.getAbsolutePath() + File.separatorChar + fileName);
}

From source file:CountFilesAction.java

public Object run() {
    File f = new File(File.separatorChar + "files");
    File[] fArray = f.listFiles();
    return new Integer(fArray.length);
}

From source file:de.maklerpoint.office.OfflineMode.SynchronizeFilesystem.java

public static void synchronizeFilesystem() {
    try {//from w  w  w  .  ja v a2 s.  c  o  m
        FileUtils.copyDirectory(new File(Filesystem.getRootPath()),
                new File("includes" + File.separatorChar + "localstorage" + File.separatorChar + "filesystem"));
    } catch (IOException e) {
        Log.logger.fatal("Fehler: Konnte Dateisystem nicht synchronisieren", e);
        ShowException.showException("Konnte das Dateisystem nicht synchronisieren.",
                ExceptionDialogGui.LEVEL_WARNING, e, "Schwerwiegend: Konnte Dateisystem nicht synchronisieren");
    }
}

From source file:Main.java

public static File getBlobPath(Context context) {
    File cachedir = context.getCacheDir();
    if (cachedir == null)
        return null;
    return new File(cachedir.getPath() + File.separatorChar + "blob");
}

From source file:apps.quantification.LearnQuantificationSVMPerf.java

public static void main(String[] args) throws IOException {
    String cmdLineSyntax = LearnQuantificationSVMPerf.class.getName()
            + " [OPTIONS] <path to svm_perf_learn> <path to svm_perf_classify> <trainingIndexDirectory> <outputDirectory>";

    Options options = new Options();

    OptionBuilder.withArgName("f");
    OptionBuilder.withDescription("Number of folds");
    OptionBuilder.withLongOpt("f");
    OptionBuilder.isRequired(true);//from  w  ww.j ava 2  s  .  com
    OptionBuilder.hasArg();
    options.addOption(OptionBuilder.create());

    OptionBuilder.withArgName("c");
    OptionBuilder.withDescription("The c value for svm_perf (default 0.01)");
    OptionBuilder.withLongOpt("c");
    OptionBuilder.isRequired(false);
    OptionBuilder.hasArg();
    options.addOption(OptionBuilder.create());

    OptionBuilder.withArgName("t");
    OptionBuilder.withDescription("Path for temporary files");
    OptionBuilder.withLongOpt("t");
    OptionBuilder.isRequired(false);
    OptionBuilder.hasArg();
    options.addOption(OptionBuilder.create());

    OptionBuilder.withArgName("l");
    OptionBuilder.withDescription("The loss function to optimize (default 2):\n"
            + "               0  Zero/one loss: 1 if vector of predictions contains error, 0 otherwise.\n"
            + "               1  F1: 100 minus the F1-score in percent.\n"
            + "               2  Errorrate: Percentage of errors in prediction vector.\n"
            + "               3  Prec/Rec Breakeven: 100 minus PRBEP in percent.\n"
            + "               4  Prec@p: 100 minus precision at p in percent.\n"
            + "               5  Rec@p: 100 minus recall at p in percent.\n"
            + "               10  ROCArea: Percentage of swapped pos/neg pairs (i.e. 100 - ROCArea).");
    OptionBuilder.withLongOpt("l");
    OptionBuilder.isRequired(false);
    OptionBuilder.hasArg();
    options.addOption(OptionBuilder.create());

    OptionBuilder.withArgName("w");
    OptionBuilder.withDescription("Choice of structural learning algorithm (default 9):\n"
            + "               0: n-slack algorithm described in [2]\n"
            + "               1: n-slack algorithm with shrinking heuristic\n"
            + "               2: 1-slack algorithm (primal) described in [5]\n"
            + "               3: 1-slack algorithm (dual) described in [5]\n"
            + "               4: 1-slack algorithm (dual) with constraint cache [5]\n"
            + "               9: custom algorithm in svm_struct_learn_custom.c");
    OptionBuilder.withLongOpt("w");
    OptionBuilder.isRequired(false);
    OptionBuilder.hasArg();
    options.addOption(OptionBuilder.create());

    OptionBuilder.withArgName("p");
    OptionBuilder.withDescription("The value of p used by the prec@p and rec@p loss functions (default 0)");
    OptionBuilder.withLongOpt("p");
    OptionBuilder.isRequired(false);
    OptionBuilder.hasArg();
    options.addOption(OptionBuilder.create());

    OptionBuilder.withArgName("v");
    OptionBuilder.withDescription("Verbose output");
    OptionBuilder.withLongOpt("v");
    OptionBuilder.isRequired(false);
    OptionBuilder.hasArg(false);
    options.addOption(OptionBuilder.create());

    OptionBuilder.withArgName("s");
    OptionBuilder.withDescription("Don't delete temporary training file in svm_perf format (default: delete)");
    OptionBuilder.withLongOpt("s");
    OptionBuilder.isRequired(false);
    OptionBuilder.hasArg(false);
    options.addOption(OptionBuilder.create());

    SvmPerfLearnerCustomizer classificationLearnerCustomizer = null;
    SvmPerfClassifierCustomizer classificationCustomizer = null;

    int folds = -1;

    GnuParser parser = new GnuParser();
    String[] remainingArgs = null;
    try {
        CommandLine line = parser.parse(options, args);

        remainingArgs = line.getArgs();

        classificationLearnerCustomizer = new SvmPerfLearnerCustomizer(remainingArgs[0]);
        classificationCustomizer = new SvmPerfClassifierCustomizer(remainingArgs[1]);

        folds = Integer.parseInt(line.getOptionValue("f"));

        if (line.hasOption("c"))
            classificationLearnerCustomizer.setC(Float.parseFloat(line.getOptionValue("c")));

        if (line.hasOption("w"))
            classificationLearnerCustomizer.setW(Integer.parseInt(line.getOptionValue("w")));

        if (line.hasOption("p"))
            classificationLearnerCustomizer.setP(Integer.parseInt(line.getOptionValue("p")));

        if (line.hasOption("l"))
            classificationLearnerCustomizer.setL(Integer.parseInt(line.getOptionValue("l")));

        if (line.hasOption("v"))
            classificationLearnerCustomizer.printSvmPerfOutput(true);

        if (line.hasOption("s"))
            classificationLearnerCustomizer.setDeleteTrainingFiles(false);

        if (line.hasOption("t")) {
            classificationLearnerCustomizer.setTempPath(line.getOptionValue("t"));
            classificationCustomizer.setTempPath(line.getOptionValue("t"));
        }

    } catch (Exception exp) {
        System.err.println("Parsing failed.  Reason: " + exp.getMessage());
        HelpFormatter formatter = new HelpFormatter();
        formatter.printHelp(cmdLineSyntax, options);
        System.exit(-1);
    }

    assert (classificationLearnerCustomizer != null);

    if (remainingArgs.length != 4) {
        HelpFormatter formatter = new HelpFormatter();
        formatter.printHelp(cmdLineSyntax, options);
        System.exit(-1);
    }

    String indexFile = remainingArgs[2];

    File file = new File(indexFile);

    String indexName = file.getName();
    String indexPath = file.getParent();

    String outputPath = remainingArgs[3];

    SvmPerfLearner classificationLearner = new SvmPerfLearner();

    classificationLearner.setRuntimeCustomizer(classificationLearnerCustomizer);

    FileSystemStorageManager fssm = new FileSystemStorageManager(indexPath, false);
    fssm.open();

    IIndex training = TroveReadWriteHelper.readIndex(fssm, indexName, TroveContentDBType.Full,
            TroveClassificationDBType.Full);

    final TextualProgressBar progressBar = new TextualProgressBar("Learning the quantifiers");

    IOperationStatusListener status = new IOperationStatusListener() {

        @Override
        public void operationStatus(double percentage) {
            progressBar.signal((int) percentage);
        }
    };

    QuantificationLearner quantificationLearner = new QuantificationLearner(folds, classificationLearner,
            classificationLearnerCustomizer, classificationCustomizer, ClassificationMode.PER_CATEGORY,
            new LogisticFunction(), status);

    IQuantifier[] quantifiers = quantificationLearner.learn(training);

    File executableFile = new File(classificationLearnerCustomizer.getSvmPerfLearnPath());
    IDataManager classifierDataManager = new SvmPerfDataManager(new SvmPerfClassifierCustomizer(
            executableFile.getParentFile().getAbsolutePath() + Os.pathSeparator() + "svm_perf_classify"));
    String description = "_SVMPerf_C-" + classificationLearnerCustomizer.getC() + "_W-"
            + classificationLearnerCustomizer.getW() + "_L-" + classificationLearnerCustomizer.getL();
    if (classificationLearnerCustomizer.getL() == 4 || classificationLearnerCustomizer.getL() == 5)
        description += "_P-" + classificationLearnerCustomizer.getP();
    if (classificationLearnerCustomizer.getAdditionalParameters().length() > 0)
        description += "_" + classificationLearnerCustomizer.getAdditionalParameters();
    String quantifierPrefix = indexName + "_Quantifier-" + folds + description;

    FileSystemStorageManager fssmo = new FileSystemStorageManager(
            outputPath + File.separatorChar + quantifierPrefix, true);
    fssmo.open();
    QuantificationLearner.write(quantifiers, fssmo, classifierDataManager);
    fssmo.close();

    BufferedWriter bfs = new BufferedWriter(
            new FileWriter(outputPath + File.separatorChar + quantifierPrefix + "_rates.txt"));
    TShortDoubleHashMap simpleTPRs = quantificationLearner.getSimpleTPRs();
    TShortDoubleHashMap simpleFPRs = quantificationLearner.getSimpleFPRs();
    TShortDoubleHashMap scaledTPRs = quantificationLearner.getScaledTPRs();
    TShortDoubleHashMap scaledFPRs = quantificationLearner.getScaledFPRs();

    ContingencyTableSet contingencyTableSet = quantificationLearner.getContingencyTableSet();

    short[] cats = simpleTPRs.keys();
    for (int i = 0; i < cats.length; ++i) {
        short cat = cats[i];
        String catName = training.getCategoryDB().getCategoryName(cat);
        ContingencyTable contingencyTable = contingencyTableSet.getCategoryContingencyTable(cat);
        double simpleTPR = simpleTPRs.get(cat);
        double simpleFPR = simpleFPRs.get(cat);
        double scaledTPR = scaledTPRs.get(cat);
        double scaledFPR = scaledFPRs.get(cat);
        String line = quantifierPrefix + "\ttrain\tsimple\t" + catName + "\t" + cat + "\t"
                + contingencyTable.tp() + "\t" + contingencyTable.fp() + "\t" + contingencyTable.fn() + "\t"
                + contingencyTable.tn() + "\t" + simpleTPR + "\t" + simpleFPR + "\n";
        bfs.write(line);
        line = quantifierPrefix + "\ttrain\tscaled\t" + catName + "\t" + cat + "\t" + contingencyTable.tp()
                + "\t" + contingencyTable.fp() + "\t" + contingencyTable.fn() + "\t" + contingencyTable.tn()
                + "\t" + scaledTPR + "\t" + scaledFPR + "\n";
        bfs.write(line);
    }
    bfs.close();
}

From source file:Main.java

public static File getStoragePath(Context context) {
    if (Environment.getExternalStorageState().equals(Environment.MEDIA_MOUNTED)) {
        File externalStorage = context.getExternalFilesDir(null);
        if (externalStorage == null)
            return null;
        return new File(externalStorage.getPath() + File.separatorChar + "storage");
    }/*  w w w.  j ava  2  s.com*/

    return null;
}

From source file:gov.nih.nci.ncicb.cadsr.bulkloader.ui.CommandLineProcessor.java

private static void runLoad() {
    UserInput userInput = userInterface.getLoadUserInput();

    initializeSpringCtx(userInput);/*from   w  w w.  java  2 s.  c  o  m*/

    String inputDir = userInput.getInputDir();
    String outputDir = inputDir + File.separatorChar + "out";
    CaDSRBulkLoadProcessor processor = SpringBeansUtil.getInstance().getBulkLoadProcessor();
    BulkLoadProcessResult[] results = processor.process(inputDir, outputDir, true);
    UIReportWriter reportWriter = new UIReportWriterImpl();
    for (BulkLoadProcessResult result : results) {
        reportWriter.writeReport(result);
    }
}