Package com.google.common.base

Examples of com.google.common.base.Splitter

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    }
  }

  @Test
  public void incompleteBeta() throws IOException {
    Splitter onComma = Splitter.on(",").trimResults();

    InputSupplier<InputStreamReader> input =
        Resources.newReaderSupplier(Resources.getResource("beta-test-data.csv"), Charsets.UTF_8);
    boolean header = true;
    for (String line : CharStreams.readLines(input)) {
      if (header) {
        // skip
        header = false;
      } else {
        Iterable<String> values = onComma.split(line);
        double alpha = Double.parseDouble(Iterables.get(values, 0));
        double beta = Double.parseDouble(Iterables.get(values, 1));
        double x = Double.parseDouble(Iterables.get(values, 2));
        double ref = Double.parseDouble(Iterables.get(values, 3));
        double actual = Gamma.incompleteBeta(alpha, beta, x);
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        close();
    }

    private Message.Request parseLine(String line)
    {
        Splitter splitter = Splitter.on(' ').trimResults().omitEmptyStrings();
        Iterator<String> iter = splitter.split(line).iterator();
        if (!iter.hasNext())
            return null;
        String msgType = iter.next().toUpperCase();
        if (msgType.equals("STARTUP"))
        {
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          }
        }
        roleNameToPrivilegeMap.putAll(roleName, roles);
      }
    }
    Splitter roleSplitter = ROLE_SPLITTER.omitEmptyStrings().trimResults();
    for (Map.Entry<String, String> entry : groupsSection.entrySet()) {
      String groupName = Strings.nullToEmpty(entry.getKey()).trim();
      String groupPrivileges = Strings.nullToEmpty(entry.getValue()).trim();
      Collection<String> resolvedGroupPrivileges = Sets.newHashSet();
      for (String roleName : roleSplitter.split(groupPrivileges)) {
        if (roleNameToPrivilegeMap.containsKey(roleName)) {
          resolvedGroupPrivileges.addAll(roleNameToPrivilegeMap
              .get(roleName));
        } else {
          LOGGER.warn("Role {} for group {} does not exist in privileges section in {}",
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        close();
    }

    private Message.Request parseLine(String line)
    {
        Splitter splitter = Splitter.on(' ').trimResults().omitEmptyStrings();
        Iterator<String> iter = splitter.split(line).iterator();
        if (!iter.hasNext())
            return null;
        String msgType = iter.next().toUpperCase();
        if (msgType.equals("STARTUP"))
        {
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        close();
    }

    private Message.Request parseLine(String line)
    {
        Splitter splitter = Splitter.on(' ').trimResults().omitEmptyStrings();
        Iterator<String> iter = splitter.split(line).iterator();
        if (!iter.hasNext())
            return null;
        String msgType = iter.next().toUpperCase();
        if (msgType.equals("STARTUP"))
        {
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      }
     
      String separator = getConfigs().getString(config, "separator");
      boolean isRegex = getConfigs().getBoolean(config, "isRegex", false);
      GrokDictionaries dict = new GrokDictionaries(config, getConfigs());
      Splitter currentSplitter;
      if (isRegex) {
        currentSplitter = Splitter.on(dict.compileExpression(separator).pattern());
      } else if (separator.length() == 1) {
        currentSplitter = Splitter.on(separator.charAt(0));
      } else {
        currentSplitter = Splitter.on(separator);
      }
     
      int limit = getConfigs().getInt(config, "limit", -1);
      if (limit > 0) {
        currentSplitter = currentSplitter.limit(limit);
      }
     
      this.addEmptyStrings = getConfigs().getBoolean(config, "addEmptyStrings", false);     
      if (outputFieldNames == null && !addEmptyStrings) {
        currentSplitter = currentSplitter.omitEmptyStrings();
      }
     
      if (getConfigs().getBoolean(config, "trim", true)) {
        currentSplitter = currentSplitter.trimResults();
      }
     
      this.splitter = currentSplitter;
      validateArguments();
    }
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      }
     
      String separator = getConfigs().getString(config, "separator");
      boolean isRegex = getConfigs().getBoolean(config, "isRegex", false);
      GrokDictionaries dict = new GrokDictionaries(config, getConfigs());
      Splitter currentSplitter;
      if (isRegex) {
        currentSplitter = Splitter.on(dict.compileExpression(separator).pattern());
      } else if (separator.length() == 1) {
        currentSplitter = Splitter.on(separator.charAt(0));
      } else {
        currentSplitter = Splitter.on(separator);
      }
     
      int limit = getConfigs().getInt(config, "limit", -1);
      if (limit > 0) {
        currentSplitter = currentSplitter.limit(limit);
      }
     
      this.addEmptyStrings = getConfigs().getBoolean(config, "addEmptyStrings", false);     
      if (outputFieldNames == null && !addEmptyStrings) {
        currentSplitter = currentSplitter.omitEmptyStrings();
      }
     
      if (getConfigs().getBoolean(config, "trim", true)) {
        currentSplitter = currentSplitter.trimResults();
      }
     
      this.splitter = currentSplitter;
      validateArguments();
    }
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    } else {
      relevantArtifactId = artifactId;
    }


    Splitter splitter = Splitter.on(new PackageSeparatorCharMatcher());

    List<String> partsList = Lists.newArrayList(splitter.split(groupId));
    partsList.addAll(Lists.<String>newArrayList(splitter.split(relevantArtifactId)));


    return Joiner.on(File.separator).join(partsList);
  }
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    private List<String> adverbs;
    private List<String> linkingWords;
    private List<String> structures = Lists.newArrayList();

    public TitleGenerator() throws IOException {
        Splitter splitter = Splitter.on(',');
        Properties properties = new Properties();
        try (InputStreamReader reader = new InputStreamReader(TitleGenerator.class.getResourceAsStream("/titleComponents.properties"))) {
            properties.load(reader);
            nouns = Lists.newArrayList(splitter.split(properties.getProperty("nouns")));
            abstractNouns = Lists.newArrayList(splitter.split(properties.getProperty("abstract.nouns")));
            pronouns = Lists.newArrayList(splitter.split(properties.getProperty("pronouns")));
            adjectives = Lists.newArrayList(splitter.split(properties.getProperty("adjectives")));
            minorAdjectives = Lists.newArrayList(splitter.split(properties.getProperty("minor.adjectives")));
            linkingWords = Lists.newArrayList(splitter.split(properties.getProperty("linking.words")));
            transitiveVerbs = Lists.newArrayList(splitter.split(properties.getProperty("transitive.verbs")));
            adverbs = Lists.newArrayList(splitter.split(properties.getProperty("adverbs")));
            List<String> intransitiveVerbsList = Lists.newArrayList(splitter.split(properties.getProperty("intransitive.verbs")));
            for (String verb : intransitiveVerbsList) {
                String[] parts = verb.split("\\|");
                intransitiveVerbs.add(new KeyValue(parts[0], parts[1]));
            }
        }
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    private int iterations;
    private boolean inMemory;
    private File tmpFile;

    public LogisticRegression(String modelParams) throws IOException {
        Splitter onComma = Splitter.on(",").trimResults().omitEmptyStrings();
        Splitter onEquals = Splitter.on("=").trimResults();
        Splitter onSpaces = Splitter.on(" ");
        Joiner withSpaces = Joiner.on(" ");

        Map<String, String> options = Maps.newHashMap();

        for (String option : onComma.split(modelParams)) {
            List<String> values = Lists.newArrayList(onEquals.split(option));
            options.put(values.get(0), values.get(1));
        }

        if (options.containsKey("model")) {
            if (options.containsKey("categories")) {
                categories = Lists.newArrayList(onSpaces.split(options.get("categories")));
                Configuration conf = UDFContext.getUDFContext().getJobConf();
                model = PolymorphicWritable.read(FileSystem.get(conf).open(new Path(options.get("model"))), OnlineLogisticRegression.class);
                options.remove("model");
                options.remove(("categories"));
            } else {
                throw new BadClassifierSpecException("Must specify \"categories\" if pre-existing model is used");
            }
        } else {
            if (options.containsKey("categories") && options.containsKey("features")) {
                categories = Lists.newArrayList(onSpaces.split(options.get("categories")));
                if (categories.size() < 2) {
                    throw new BadClassifierSpecException("Must have more than one target category.  Remember that categories is a space separated list");
                }
                model = new OnlineLogisticRegression(categories.size(), Integer.parseInt(options.get("features")), new L1());
                options.remove("categories");
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