Package com.google.common.base

Examples of com.google.common.base.Joiner

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  }
  private String getSection(String name, Multimap<String, String> mapping) {
    if(mapping.isEmpty()) {
      return "";
    }
    Joiner kvJoiner = Joiner.on(" = ");
    Joiner itemJoiner = Joiner.on(" , ");
    List<String> lines = Lists.newArrayList();
    lines.add("[" + name + "]");
    for(String key : mapping.keySet()) {
      lines.add(kvJoiner.join(key, itemJoiner.join(mapping.get(key))));
    }
    return Joiner.on(NL).join(lines);
  }
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  }
  private String getSection(String name, Map<String, String> mapping) {
    if(mapping.isEmpty()) {
      return "";
    }
    Joiner kvJoiner = Joiner.on(" = ");
    List<String> lines = Lists.newArrayList();
    lines.add("[" + name + "]");
    for(String key : mapping.keySet()) {
      lines.add(kvJoiner.join(key, mapping.get(key)));
    }
    return Joiner.on(NL).join(lines);
  }
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  public static void beforeClass() throws Exception {
    myInitCore(DEFAULT_BASE_DIR);
  }

  protected static void myInitCore(String baseDirName) throws Exception {
    Joiner joiner = Joiner.on(File.separator);
    initCore(
        joiner.join(RESOURCES_DIR, baseDirName, "collection1", "conf", "solrconfig.xml"),
        joiner.join(RESOURCES_DIR, baseDirName, "collection1", "conf", "schema.xml"),
        joiner.join(RESOURCES_DIR, baseDirName)
        );   
  }
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@SuppressCodecs({"Lucene3x", "Lucene40"})
public class SolrMorphlineZkAvroTest extends AbstractSolrMorphlineZkTest {
 
  @Override
  public void doTest() throws Exception {
    Joiner joiner = Joiner.on(File.separator);
    File file = new File(joiner.join(RESOURCES_DIR, "test-documents", "sample-statuses-20120906-141433-medium.avro"));
   
    waitForRecoveriesToFinish(false);
   
    // load avro records via morphline and zk into solr
    morphline = parse("test-morphlines" + File.separator + "tutorialReadAvroContainer");   
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    private final Main main = new Main();

    /** Check that the exit value, stdout and stderr are as expected. */
    private void assertLintOutput(int actualExit, int expectedExit, List<String> expectedStdout,
            List<String> expectedStderr) {
        Joiner nl = Joiner.on(NEWLINE);
        assertThat(stdio.getStdout(), is(nl.join(maybeAddTrailer(expectedStdout))));
        assertThat(stdio.getStderr(), is(nl.join(maybeAddTrailer(expectedStderr))));
        // Do this last so that we see stdout/stderr errors first.
        assertThat(actualExit, is(expectedExit));
    }
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                    Iterables.filter(operands,
                            StringNotEmptyPredicate.PREDICATE);
            if (Iterables.isEmpty(notEmptyOperands)) {
                return EMPTY_EXPRESSION;
            }
            Joiner joiner = Joiner.on(" " + operator.name() + " ");
            StringBuilder expStr = new StringBuilder("(");
            joiner.appendTo(expStr, notEmptyOperands);
            expStr.append(")");
            return expStr.toString();
        }
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    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");
                options.remove("features");
            } else {
                throw new BadClassifierSpecException("Must specify previous model location using \"file\" or supply \"categories\" and \"features\"");
            }

            if (options.containsKey("decayExponent")) {
                model.decayExponent(Double.parseDouble(options.get("decayExponent")));
                options.remove("decayExponent");
            }

            if (options.containsKey("lambda")) {
                model.lambda(Double.parseDouble(options.get("lambda")));
                options.remove("lambda");
            }

            if (options.containsKey("stepOffset")) {
                model.stepOffset(Integer.parseInt(options.get("stepOffset")));
                options.remove("stepOffset");
            }

            if (options.containsKey("learningRate")) {
                model.learningRate(Double.parseDouble(options.get("learningRate")));
                options.remove("learningRate");
            }
        }

        iterations = options.containsKey("iterations") ? Integer.parseInt(options.get("iterations")) : 1;
        options.remove("iterations");

        inMemory = options.containsKey("inMemory") ? Boolean.parseBoolean(options.get("inMemory")) : true;
        options.remove("inMemory");

        if (options.size() > 0) {
            throw new BadClassifierSpecException("Extra options supplied: " + withSpaces.join(options.keySet()));
        }

        if (!inMemory) {
            tmpFile = File.createTempFile("trainingData", "tmp");
            tmpFile.deleteOnExit();
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    public LogisticRegressionEval(String modelParams) throws IOException {
        System.out.printf("Model params = %s\n", modelParams);

        Splitter onComma = Splitter.on(",").trimResults().omitEmptyStrings();
        Splitter onEquals = Splitter.on("=").trimResults();
        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("sequence")) {
            location = options.get("sequence");
            if (options.containsKey("key")) {
                key = options.get("key");
                options.remove("sequence");
                options.remove(("key"));
            } else {
                throw new BadClassifierSpecException("Must specify key for model in a sequence file");
            }
        } else if (options.containsKey("file")) {
            Configuration conf = UDFContext.getUDFContext().getJobConf();
            final FSDataInputStream in = FileSystem.get(conf).open(new Path(options.get("file")));
            try {
                model = PolymorphicWritable.read(in, Classifier.class);
            } finally {
                in.close();
            }
            options.remove("file");

        } else {
            throw new BadClassifierSpecException("Must specify existing model");
        }

        if (options.size() > 0) {
            throw new BadClassifierSpecException("Extra options supplied: " + withSpaces.join(options.keySet()));
        }
    }
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        arrayCopy.remove(0); // Remove name

        if (arrayCopy.isEmpty())
            return null;

        Joiner stringJoiner = Joiner.on(" ");
        return stringJoiner.join(arrayCopy);
    }
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    return !migrations.contains(migration) && migrations.add(migration);
  }

  @Override
  public void writeToLocation(String dbLocation) {
    Joiner j = Joiner.on("\n");
    StringBuilder b = new StringBuilder("Equivalences:\n");
    j.join(b, equivalences);
    b.append("\nMigrations:\n");
    j.join(b, migrations);
    AppContext.RUN.ui.info(b.toString());
  }
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