Package org.apache.commons.cli2.builder

Examples of org.apache.commons.cli2.builder.DefaultOptionBuilder

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  private static final Logger log = LoggerFactory.getLogger(SparseVectorsFromSequenceFiles.class);
 
  private SparseVectorsFromSequenceFiles() {}
 
  public static void main(String[] args) throws Exception {
    DefaultOptionBuilder obuilder = new DefaultOptionBuilder();
    ArgumentBuilder abuilder = new ArgumentBuilder();
    GroupBuilder gbuilder = new GroupBuilder();
   
    Option inputDirOpt = obuilder.withLongName("input").withRequired(true).withArgument(
      abuilder.withName("input").withMinimum(1).withMaximum(1).create()).withDescription(
      "input dir containing the documents in sequence file format").withShortName("i").create();
   
    Option outputDirOpt = obuilder.withLongName("output").withRequired(true).withArgument(
      abuilder.withName("output").withMinimum(1).withMaximum(1).create()).withDescription(
      "The output directory").withShortName("o").create();
    Option minSupportOpt = obuilder.withLongName("minSupport").withArgument(
      abuilder.withName("minSupport").withMinimum(1).withMaximum(1).create()).withDescription(
      "(Optional) Minimum Support. Default Value: 2").withShortName("s").create();
   
    Option analyzerNameOpt = obuilder.withLongName("analyzerName").withArgument(
      abuilder.withName("analyzerName").withMinimum(1).withMaximum(1).create()).withDescription(
      "The class name of the analyzer").withShortName("a").create();
   
    Option chunkSizeOpt = obuilder.withLongName("chunkSize").withArgument(
      abuilder.withName("chunkSize").withMinimum(1).withMaximum(1).create()).withDescription(
      "The chunkSize in MegaBytes. 100-10000 MB").withShortName("chunk").create();
   
    Option weightOpt = obuilder.withLongName("weight").withRequired(false).withArgument(
      abuilder.withName("weight").withMinimum(1).withMaximum(1).create()).withDescription(
      "The kind of weight to use. Currently TF or TFIDF").withShortName("wt").create();
   
    Option minDFOpt = obuilder.withLongName("minDF").withRequired(false).withArgument(
      abuilder.withName("minDF").withMinimum(1).withMaximum(1).create()).withDescription(
      "The minimum document frequency.  Default is 1").withShortName("md").create();
   
    Option maxDFPercentOpt = obuilder.withLongName("maxDFPercent").withRequired(false).withArgument(
      abuilder.withName("maxDFPercent").withMinimum(1).withMaximum(1).create()).withDescription(
      "The max percentage of docs for the DF.  Can be used to remove really high frequency terms."
          + " Expressed as an integer between 0 and 100. Default is 99.").withShortName("x").create();
   
    Option minLLROpt = obuilder.withLongName("minLLR").withRequired(false).withArgument(
      abuilder.withName("minLLR").withMinimum(1).withMaximum(1).create()).withDescription(
      "(Optional)The minimum Log Likelihood Ratio(Float)  Default is " + LLRReducer.DEFAULT_MIN_LLR)
        .withShortName("ml").create();
   
    Option numReduceTasksOpt = obuilder.withLongName("numReducers").withArgument(
      abuilder.withName("numReducers").withMinimum(1).withMaximum(1).create()).withDescription(
      "(Optional) Number of reduce tasks. Default Value: 1").withShortName("nr").create();
   
    Option powerOpt = obuilder.withLongName("norm").withRequired(false).withArgument(
      abuilder.withName("norm").withMinimum(1).withMaximum(1).create()).withDescription(
      "The norm to use, expressed as either a float or \"INF\" if you want to use the Infinite norm.  "
          + "Must be greater or equal to 0.  The default is not to normalize").withShortName("n").create();
    Option maxNGramSizeOpt = obuilder.withLongName("maxNGramSize").withRequired(false).withArgument(
      abuilder.withName("ngramSize").withMinimum(1).withMaximum(1).create())
        .withDescription(
          "(Optional) The maximum size of ngrams to create"
              + " (2 = bigrams, 3 = trigrams, etc) Default Value:2").withShortName("ng").create();
    Option sequentialAccessVectorOpt = obuilder.withLongName("sequentialAccessVector").withRequired(false)
        .withDescription(
          "(Optional) Whether output vectors should be SequentialAccessVectors If set true else false")
        .withShortName("seq").create();
   
    Option overwriteOutput = obuilder.withLongName("overwrite").withRequired(false).withDescription(
      "If set, overwrite the output directory").withShortName("w").create();
    Option helpOpt = obuilder.withLongName("help").withDescription("Print out help").withShortName("h")
        .create();
   
    Group group = gbuilder.withName("Options").withOption(minSupportOpt).withOption(analyzerNameOpt)
        .withOption(chunkSizeOpt).withOption(outputDirOpt).withOption(inputDirOpt).withOption(minDFOpt)
        .withOption(maxDFPercentOpt).withOption(weightOpt).withOption(powerOpt).withOption(minLLROpt)
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      queues.add(new PriorityQueue<StringDoublePair>());
    }
  }
 
  public static void main(String[] args) throws Exception {
    DefaultOptionBuilder obuilder = new DefaultOptionBuilder();
    ArgumentBuilder abuilder = new ArgumentBuilder();
    GroupBuilder gbuilder = new GroupBuilder();
   
    Option inputOpt = obuilder.withLongName("input").withRequired(true).withArgument(
      abuilder.withName("input").withMinimum(1).withMaximum(1).create()).withDescription(
      "Path to an LDA output (a state)").withShortName("i").create();
   
    Option dictOpt = obuilder.withLongName("dict").withRequired(true).withArgument(
      abuilder.withName("dict").withMinimum(1).withMaximum(1).create()).withDescription(
      "Dictionary to read in, in the same format as one created by "
          + "org.apache.mahout.utils.vectors.lucene.Driver").withShortName("d").create();
   
    Option outOpt = obuilder.withLongName("output").withRequired(false).withArgument(
      abuilder.withName("output").withMinimum(1).withMaximum(1).create()).withDescription(
      "Output directory to write top words").withShortName("o").create();
   
    Option wordOpt = obuilder.withLongName("words").withRequired(false).withArgument(
      abuilder.withName("words").withMinimum(0).withMaximum(1).withDefault("20").create()).withDescription(
      "Number of words to print").withShortName("w").create();
    Option dictTypeOpt = obuilder.withLongName("dictionaryType").withRequired(false).withArgument(
      abuilder.withName("dictionaryType").withMinimum(1).withMaximum(1).create()).withDescription(
      "The dictionary file type (text|sequencefile)").withShortName("dt").create();
    Option helpOpt = obuilder.withLongName("help").withDescription("Print out help").withShortName("h")
        .create();
   
    Group group = gbuilder.withName("Options").withOption(dictOpt).withOption(outOpt).withOption(wordOpt)
        .withOption(inputOpt).withOption(dictTypeOpt).create();
    try {
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  private static final Logger log = LoggerFactory.getLogger(DirichletJob.class);
 
  private DirichletJob() {}
 
  public static void main(String[] args) throws Exception {
    DefaultOptionBuilder obuilder = new DefaultOptionBuilder();
    ArgumentBuilder abuilder = new ArgumentBuilder();
    GroupBuilder gbuilder = new GroupBuilder();
   
    Option inputOpt = DefaultOptionCreator.inputOption().create();
    Option outputOpt = DefaultOptionCreator.outputOption().create();
    Option maxIterOpt = DefaultOptionCreator.maxIterOption().create();
    Option topicsOpt = DefaultOptionCreator.kOption().create();
    Option helpOpt = DefaultOptionCreator.helpOption();
   
    Option mOpt = obuilder.withLongName("alpha").withRequired(true).withShortName("m").withArgument(
      abuilder.withName("alpha").withMinimum(1).withMaximum(1).create()).withDescription(
      "The alpha0 value for the DirichletDistribution.").create();
   
    Option modelOpt = obuilder.withLongName("modelClass").withRequired(false).withShortName("d")
        .withArgument(abuilder.withName("modelClass").withMinimum(1).withMaximum(1).create())
        .withDescription(
          "The ModelDistribution class name."
              + "Defaults to org.apache.mahout.clustering.dirichlet.models.NormalModelDistribution").create();
   
    Option prototypeOpt = obuilder.withLongName("modelPrototypeClass").withRequired(false).withShortName("p")
        .withArgument(abuilder.withName("prototypeClass").withMinimum(1).withMaximum(1).create())
        .withDescription(
          "The ModelDistribution prototype Vector class name."
              + "Defaults to org.apache.mahout.math.RandomAccessSparseVector").create();
   
    Option sizeOpt = obuilder.withLongName("prototypeSize").withRequired(true).withShortName("s")
        .withArgument(abuilder.withName("prototypeSize").withMinimum(1).withMaximum(1).create())
        .withDescription("The ModelDistribution prototype Vector size.").create();
   
    Group group = gbuilder.withName("Options").withOption(inputOpt).withOption(outputOpt)
        .withOption(modelOpt).withOption(prototypeOpt).withOption(sizeOpt).withOption(maxIterOpt).withOption(
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  private static final Logger log = LoggerFactory.getLogger(FuzzyKMeansDriver.class);
 
  private FuzzyKMeansDriver() { }
 
  public static void main(String[] args) throws Exception {
    DefaultOptionBuilder obuilder = new DefaultOptionBuilder();
    ArgumentBuilder abuilder = new ArgumentBuilder();
    GroupBuilder gbuilder = new GroupBuilder();
    Option inputOpt = obuilder.withLongName("input").withRequired(true).withArgument(
      abuilder.withName("input").withMinimum(1).withMaximum(1).create()).withDescription(
      "The Path for input Vectors. Must be a SequenceFile of Writable, Vector").withShortName("i").create();
   
    Option clustersOpt = obuilder.withLongName("clusters").withRequired(true).withArgument(
      abuilder.withName("clusters").withMinimum(1).withMaximum(1).create()).withDescription(
      "The input centroids, as Vectors.  Must be a SequenceFile of Writable, Cluster/Canopy.  "
          + "If k is also specified, then a random set of vectors will be selected"
          + " and written out to this path first").withShortName("c").create();
   
    Option kOpt = obuilder.withLongName("k").withRequired(false).withArgument(
      abuilder.withName("k").withMinimum(1).withMaximum(1).create()).withDescription(
      "The k in k-Means.  If specified, then a random selection of k Vectors will be chosen"
          + " as the Centroid and written to the clusters output path.").withShortName("k").create();
   
    Option outputOpt = obuilder.withLongName("output").withRequired(true).withArgument(
      abuilder.withName("output").withMinimum(1).withMaximum(1).create()).withDescription(
      "The Path to put the output in").withShortName("o").create();
   
    Option measureClassOpt = obuilder.withLongName("distance").withRequired(false).withArgument(
      abuilder.withName("distance").withMinimum(1).withMaximum(1).create()).withDescription(
      "The Distance Measure to use.  Default is SquaredEuclidean").withShortName("dm").create();
   
    Option convergenceDeltaOpt = obuilder.withLongName("convergence").withRequired(false).withArgument(
      abuilder.withName("convergence").withMinimum(1).withMaximum(1).create()).withDescription(
      "The threshold below which the clusters are considered to be converged.  Default is 0.5")
        .withShortName("d").create();
   
    Option maxIterationsOpt = obuilder.withLongName("max").withRequired(false).withArgument(
      abuilder.withName("max").withMinimum(1).withMaximum(1).create()).withDescription(
      "The maximum number of iterations to perform.  Default is 20").withShortName("x").create();
   
    Option vectorClassOpt = obuilder.withLongName("vectorClass").withRequired(false).withArgument(
      abuilder.withName("vectorClass").withMinimum(1).withMaximum(1).create()).withDescription(
      "The Vector implementation class name.  Default is RandomAccessSparseVector.class").withShortName("v")
        .create();
   
    Option helpOpt = obuilder.withLongName("help").withDescription("Print out help").withShortName("h")
        .create();
   
    Option overwriteOutput = obuilder.withLongName("overwrite").withRequired(false).withDescription(
      "If set, overwrite the output directory").withShortName("w").create();
   
    Option clusteringOpt = obuilder.withLongName("clustering").withRequired(false).withDescription(
      "If true, run clustering only (assumes the iterations have already taken place").withShortName("l")
        .create();
   
    Option mOpt = obuilder.withLongName("m").withRequired(true).withArgument(
      abuilder.withName("m").withMinimum(1).withMaximum(1).create()).withDescription(
      "coefficient normalization factor, must be greater than 1").withShortName("m").create();
   
    Option numReduceTasksOpt = obuilder.withLongName("numReduce").withRequired(false).withArgument(
      abuilder.withName("numReduce").withMinimum(1).withMaximum(1).create()).withDescription(
      "The number of reduce tasks").withShortName("r").create();
   
    Option numMapTasksOpt = obuilder.withLongName("numMap").withRequired(false).withArgument(
      abuilder.withName("numMap").withMinimum(1).withMaximum(1).create()).withDescription(
      "The number of map tasks").withShortName("u").create();
   
    Group group = gbuilder.withName("Options").withOption(inputOpt).withOption(clustersOpt).withOption(
      outputOpt).withOption(measureClassOpt).withOption(convergenceDeltaOpt).withOption(maxIterationsOpt)
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  private FuzzyKMeansJob() { }
 
  public static void main(String[] args) throws IOException {
   
    DefaultOptionBuilder obuilder = new DefaultOptionBuilder();
    ArgumentBuilder abuilder = new ArgumentBuilder();
    GroupBuilder gbuilder = new GroupBuilder();
   
    Option inputOpt = DefaultOptionCreator.inputOption().create();
    Option outputOpt = DefaultOptionCreator.outputOption().create();
    Option convergenceDeltaOpt = DefaultOptionCreator.convergenceOption().create();
    Option measureClassOpt = DefaultOptionCreator.distanceOption().create();
    Option maxIterOpt = DefaultOptionCreator.maxIterOption().create();
    Option helpOpt = DefaultOptionCreator.helpOption();
   
    Option clustersOpt = obuilder.withLongName("clusters").withRequired(true).withShortName("c")
        .withArgument(abuilder.withName("clusters").withMinimum(1).withMaximum(1).create()).withDescription(
          "The directory pathname for initial clusters.").create();
   
    Option numMapOpt = obuilder.withLongName("maxMap").withRequired(true).withShortName("p").withArgument(
      abuilder.withName("maxMap").withMinimum(1).withMaximum(1).create()).withDescription(
      "The maximum number of maptasks.").create();
   
    Option numRedOpt = obuilder.withLongName("maxRed").withRequired(true).withShortName("r").withArgument(
      abuilder.withName("maxRed").withMinimum(1).withMaximum(1).create()).withDescription(
      "The maximum number of reduce tasks.").create();
   
    Option doCanopyOpt = obuilder.withLongName("doCanopy").withRequired(true).withShortName("a")
        .withArgument(abuilder.withName("doCanopy").withMinimum(1).withMaximum(1).create()).withDescription(
          "Does canopy needed for initial clusters.").create();
   
    Option mOpt = obuilder.withLongName("fuzzify").withRequired(true).withShortName("m").withArgument(
      abuilder.withName("fuzzify").withMinimum(1).withMaximum(1).create()).withDescription(
      "Param needed to fuzzify the cluster membership values.").create();
   
    Option vectorClassOpt = obuilder.withLongName("vectorclass").withRequired(true).withShortName("e")
        .withArgument(abuilder.withName("vectorclass").withMinimum(1).withMaximum(1).create())
        .withDescription("Class name of vector implementation to use.").create();
   
    Group group = gbuilder.withName("Options").withOption(inputOpt).withOption(clustersOpt).withOption(
      outputOpt).withOption(measureClassOpt).withOption(convergenceDeltaOpt).withOption(maxIterOpt)
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  private LDADriver() {}
 
  public static void main(String[] args) throws ClassNotFoundException, IOException, InterruptedException {
   
    DefaultOptionBuilder obuilder = new DefaultOptionBuilder();
    ArgumentBuilder abuilder = new ArgumentBuilder();
    GroupBuilder gbuilder = new GroupBuilder();
   
    Option inputOpt = obuilder.withLongName("input").withRequired(true).withArgument(
      abuilder.withName("input").withMinimum(1).withMaximum(1).create()).withDescription(
      "The Path for input Vectors. Must be a SequenceFile of Writable, Vector").withShortName("i").create();
   
    Option outputOpt = obuilder.withLongName("output").withRequired(true).withArgument(
      abuilder.withName("output").withMinimum(1).withMaximum(1).create()).withDescription(
      "The Output Working Directory").withShortName("o").create();
   
    Option overwriteOutput = obuilder.withLongName("overwrite").withRequired(false).withDescription(
      "If set, overwrite the output directory").withShortName("w").create();
   
    Option topicsOpt = obuilder.withLongName("numTopics").withRequired(true).withArgument(
      abuilder.withName("numTopics").withMinimum(1).withMaximum(1).create()).withDescription(
      "The number of topics").withShortName("k").create();
   
    Option wordsOpt = obuilder.withLongName("numWords").withRequired(true).withArgument(
      abuilder.withName("numWords").withMinimum(1).withMaximum(1).create()).withDescription(
      "The total number of words in the corpus").withShortName("v").create();
   
    Option topicSmOpt = obuilder.withLongName("topicSmoothing").withRequired(false).withArgument(
      abuilder.withName("topicSmoothing").withDefault(-1.0).withMinimum(0).withMaximum(1).create())
        .withDescription("Topic smoothing parameter. Default is 50/numTopics.").withShortName("a").create();
   
    Option maxIterOpt = obuilder.withLongName("maxIter").withRequired(false).withArgument(
      abuilder.withName("maxIter").withDefault(-1).withMinimum(0).withMaximum(1).create()).withDescription(
      "Max iterations to run (or until convergence). -1 (default) waits until convergence.").create();
   
    Option numReducOpt = obuilder.withLongName("numReducers").withRequired(false).withArgument(
      abuilder.withName("numReducers").withDefault(10).withMinimum(0).withMaximum(1).create())
        .withDescription("Max iterations to run (or until convergence). Default 10").create();
   
    Option helpOpt = obuilder.withLongName("help").withDescription("Print out help").withShortName("h")
        .create();
   
    Group group = gbuilder.withName("Options").withOption(inputOpt).withOption(outputOpt).withOption(
      topicsOpt).withOption(wordsOpt).withOption(topicSmOpt).withOption(maxIterOpt).withOption(numReducOpt)
        .withOption(overwriteOutput).withOption(helpOpt).create();
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    HiveConf.setVar(conf, ConfVars.SEMANTIC_ANALYZER_HOOK, HowlSemanticAnalyzer.class.getName());

    SessionState.start(ss);

    DefaultOptionBuilder builder = new DefaultOptionBuilder("-", "--", false);
    ArgumentBuilder argBuilder = new ArgumentBuilder();
    // -e
    Option execOption = createOptionWithArg(builder, "exec", "e", "execute the following command",argBuilder.withMinimum(1).withMaximum(1).create());
    // -f
    Option fileOption = createOptionWithArg(builder, "file", "f","execute commands from the following file", argBuilder.withMinimum(1).withMaximum(1).create());
    // -g
    Option grpOption = createOptionWithArg(builder, "group", "g","group for the db/table specified in CREATE statement", argBuilder.withMinimum(1).withMaximum(1).create());
    // -p
    Option permOption = createOptionWithArg(builder, "perms", "p","permissions for the db/table specified in CREATE statement",
        argBuilder.withMinimum(1).withMaximum(1).create());

    builder.reset();
    Option isHelpOption =  builder.withShortName("h").withLongName("help").withDescription("help").create();
    new PropertyOption();
    Group allOptions = new GroupBuilder().withOption(isHelpOption).withOption(execOption).withOption(fileOption).withOption(grpOption).withOption(permOption).create();

    Parser parser = new Parser();
    parser.setGroup(allOptions);
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  private static Option createOptionWithArg(DefaultOptionBuilder builder, String longName,
      String shortName, String desc, Argument arg) {

    builder.reset();
    DefaultOptionBuilder dob = builder.withShortName(shortName).withArgument(arg).withDescription(desc);

    if (longName != null) {
      dob = dob.withLongName(longName);
    }
    return dob.create();
  }
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  private Option createOptionWithArg(DefaultOptionBuilder builder, String longName,
      String shortName, String desc, Argument arg) {
    builder.reset();

    DefaultOptionBuilder dob = builder.withShortName(shortName).withArgument(arg).withDescription(
        desc);

    if (longName != null) {
      dob = dob.withLongName(longName);
    }

    return dob.create();
  }
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    return dob.create();
  }

  public OptionsProcessor() {
    DefaultOptionBuilder builder = new DefaultOptionBuilder("-", "-", false);

    ArgumentBuilder argBuilder = new ArgumentBuilder();

    // -e
    execOption = createOptionWithArg(builder, "exec", "e", "execute the following command",
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