}

    /**
     * @throws Exception
     */
    @Test
    public void testCopy_BeanToMap() throws Exception {
        final HogeDto hoge = new HogeDto();
        hoge.setA("A");
        hoge.setB(true);
        hoge.setC(3);
        final Map<String, Object> map = newHashMap();
        BeanUtil.copyBeanToMap(hoge, map);
        assertThat(map, is(notNullValue()));
        assertThat(map.get("a"), is((Object) "A"));

	workerSize, err := env.GetInt(envRebalanceWorkers, len(pool.sets))
	if err != nil {
		rebalanceLogIf(ctx, fmt.Errorf("invalid workers value err: %v, defaulting to %d", err, len(pool.sets)))
		workerSize = len(pool.sets)
	}

	// Each decom worker needs one List() goroutine/worker
	// add that many extra workers.
	workerSize += len(pool.sets)

	wk, err := workers.New(workerSize)
	if err != nil {
		return err

                  protected Set<String> create(String[] elements) {
                    Set<String> set = newHashSet(elements);
                    Set<String> other = newHashSet("wz", "xq");
                    set.addAll(other);
                    other.add("pq");
                    return Sets.difference(set, other);
                  }
                })
            .named("set - set")
            .withFeatures(

                  protected Set<String> create(String[] elements) {
                    Set<String> set = newHashSet(elements);
                    Set<String> other = newHashSet("wz", "xq");
                    set.addAll(other);
                    other.add("pq");
                    return Sets.difference(set, other);
                  }
                })
            .named("set - set")
            .withFeatures(

- *If total drives has many common divisors the algorithm chooses the minimum amounts of erasure sets possible for a erasure set size of any N*.  In the example with 1024 drives - 4, 8, 16 are GCD factors. With 16 drives we get a total of 64 possible sets, with 8 drives we get a total of 128 possible sets, with 4 drives we get a total of 256 possible sets. So algorithm automatically chooses 64 sets, which is *16* 64 = 1024* drives in total.

      if (set.isEmpty()) {
        /*
         * The (tooLow + 1, tooHigh) arguments below would be invalid because tooLow would be
         * greater than tooHigh.
         */
        return ContiguousSet.create(Range.openClosed(0, 1), DiscreteDomain.integers()).subSet(0, 1);
      }
      int tooHigh = set.last() + 1;
      int tooLow = set.first() - 1;
      set.add(tooHigh);

	tmpFormat.Erasure.This = ""
	if len(reference.Erasure.Sets) != len(format.Erasure.Sets) {
		return fmt.Errorf("Expected number of sets %d, got %d", len(reference.Erasure.Sets), len(format.Erasure.Sets))
	}

	// Make sure that the sets match.
	for i := range reference.Erasure.Sets {
		if len(reference.Erasure.Sets[i]) != len(format.Erasure.Sets[i]) {
			return fmt.Errorf("Each set should be of same size, expected %d got %d",

     *
     * @return The source of the POM or {@code null} if not set.
     */
    ModelSource getModelSource();

    /**
     * Sets the source of the POM to process. Eventually, either {@link #setModelSource(ModelSource)} or
     * {@link #setPomPath(Path)} must be set.
     *
     * @param modelSource The source of the POM to process, may be {@code null}.
     * @return This request, never {@code null}.
     */

    /**
     * Gets the global settings file.
     *
     * @return The global settings file or {@code null} if none.
     */
    File getGlobalSettingsFile();

    /**
     * Sets the global settings file. A non-existent settings file is equivalent to empty settings. If both user
     * settings and global settings are given, the user settings take precedence.
     *

 */

package com.google.common.collect;

import static com.google.common.collect.Sets.newHashSet;

import com.google.common.base.Predicate;
import com.google.common.collect.FilteredCollectionsTestUtil.AbstractFilteredSetTest;
import java.util.Set;

public final class SetsFilterHashSetTest extends AbstractFilteredSetTest<Set<Integer>> {
  @Override
  Set<Integer> createUnfiltered(Iterable<Integer> contents) {
    return newHashSet(contents);