* Creates an empty {@code HashBasedTable} with the specified map sizes.
   *
   * @param expectedRows the expected number of distinct row keys
   * @param expectedCellsPerRow the expected number of column key / value mappings in each row
   * @throws IllegalArgumentException if {@code expectedRows} or {@code expectedCellsPerRow} is
   *     negative
   */
  public static <R, C, V> HashBasedTable<R, C, V> create(

    }
    Object result;
    try {
      result = supplier.get();
    } catch (Throwable t) {
      if (predicate.apply(t)) {
        // We are careful to set up INSTANCE_OF to match each Predicate to its target Class.
        @SuppressWarnings("unchecked")
        T caught = (T) t;
        return caught;
      }
      throw new AssertionError(

   * Creates an empty {@code HashBasedTable} with the specified map sizes.
   *
   * @param expectedRows the expected number of distinct row keys
   * @param expectedCellsPerRow the expected number of column key / value mappings in each row
   * @throws IllegalArgumentException if {@code expectedRows} or {@code expectedCellsPerRow} is
   *     negative
   */
  public static <R, C, V> HashBasedTable<R, C, V> create(

	input := NewInput(name)
	fd, err := os.Open(name)
	if err != nil {
		log.Fatalf("%s\n", err)
	}
	input.Push(NewTokenizer(name, fd, fd))
	return input
}

// The other files in this directory each contain an implementation of TokenReader.

// A TokenReader is like a reader, but returns lex tokens of type Token. It also can tell you what
// the text of the most recently returned token is, and where it was found.

import jp.gr.java_conf.dangan.util.lha.LhaHeader;

/**
 * Extractor implementation for LHA (LZH) archive files.
 * This extractor can extract text content from files within LHA archives
 * by using appropriate extractors for each contained file type.
 *
 * @author shinsuke
 */
public class LhaExtractor extends AbstractExtractor {
    /** Logger for this class. */
    private static final Logger logger = LogManager.getLogger(LhaExtractor.class);

 * for text analysis and search processing. This class is used in character mapping dictionaries to transform
 * text during indexing and search operations.
 *
 * <p>Each mapping item consists of one or more input character sequences that are mapped to a single output
 * character sequence. The mapping supports both original values and new values for update operations.</p>
 */

        Object result2 = scriptExecutor.execute("type2", "script for engine2");
        assertEquals("engine2:processed: script for engine2", result2);

        // Verify correct engine was called each time
        assertEquals("script for engine1", engine1.getLastScript());
        assertEquals("script for engine2", engine2.getLastScript());
    }

    public void test_execute_withInvalidScriptType() {

    }

    @Override
    public Map<String, Collection<Integer>> create(Object... elements) {
      ImmutableMap.Builder<String, Integer> builder = ImmutableMap.builder();
      // assumes that each set is a singleton or less (as is done for the samples)
      for (Object elem : elements) {
        @SuppressWarnings("unchecked") // safe by generator contract

        multiset2.add("equalIn1");
        multiset2.add("fewerIn1", 3);
        multiset2.add("onlyIn2", 2);
        for (int i = 0; i < elements.length; i++) {
          // add 1 more copy of each element to multiset1 than multiset2
          multiset1.add(elements[i], i + 2);
          multiset2.add(elements[i], i + 1);
        }
        return difference(multiset1, multiset2);
      }
    };
  }

   * executor promptly, or else the returned {@code ListenableFuture} may fail to work. The task's
   * execution consists of blocking until the input future is {@linkplain Future#isDone() done}, so
   * each call to this method may claim and hold a thread for an arbitrary length of time. Use of
   * bounded executors or other executors that may fail to execute a task promptly may result in
   * deadlocks.
   *