return err
		}
	}
	return nil
}

// ContainsDuplicateTag - returns true if duplicate keys are present in And
func (a And) ContainsDuplicateTag() bool {
	x := make(map[string]struct{}, len(a.Tags))

	for _, t := range a.Tags {
		if _, has := x[t.Key]; has {
			return true
		}
		x[t.Key] = struct{}{}
	}

	return false

// and options for generating data keys.
type GenerateKeyRequest struct {
	// Name is the name of the master key used to generate
	// the data key.
	Name string

	// AssociatedData is optional data that is cryptographically
	// associated with the generated data key. The same data
	// must be provided when decrypting an encrypted data key.
	//
	// Typically, associated data is some metadata about the

    q0 = {by_resource_name(res): res for res in j0 if res is not None}
    q1 = {by_resource_name(res): res for res in j1 if res is not None}

    added, removed, common = keydiff(q0.keys(), q1.keys())

    changed = 0
    for k in sorted(common):
        if q0[k] != q1[k]:
            changed += 1

    print("## +++ ", args.new)
    print("## --- ", args.orig)

		return errXMLNotWellFormed
	}
	return nil
}

// ContainsDuplicateTag - returns true if duplicate keys are present in And
func (a And) ContainsDuplicateTag() bool {
	x := make(map[string]struct{}, len(a.Tags))

	for _, t := range a.Tags {
		if _, has := x[t.Key]; has {
			return true
		}
		x[t.Key] = struct{}{}
	}

	return false
}

// BySize returns true when sz satisfies a

    for (K key : multimap().keySet()) {
      SortedSet<V> valueSet = (SortedSet<V>) multimap().asMap().get(key);
      assertEquals(multimap().valueComparator(), valueSet.comparator());
    }
  }

  @MapFeature.Require(SUPPORTS_REMOVE)
  public void testAsMapRemoveImplementsSortedSet() {
    List<K> keys = new ArrayList<>(multimap().keySet());
    for (K key : keys) {
      resetCollection();

}

// ToQuery constructs a URL query string from the MSS, including "?" if there are any keys.
func (m MSS) ToQuery() string {
	if len(m) == 0 {
		return ""
	}
	var buf strings.Builder
	buf.WriteByte('?')
	keys := make([]string, 0, len(m))
	for k := range m {
		keys = append(keys, k)
	}
	sort.Strings(keys)
	for _, k := range keys {
		v := m[k]
		keyEscaped := url.QueryEscape(k)
		if buf.Len() > 1 {

    assertEmpty(multimap().entries());
    assertEmpty(multimap().asMap());
    assertEmpty(multimap().keySet());
    assertEmpty(multimap().keys());
    assertEmpty(multimap().values());
    for (K key : sampleKeys()) {
      assertGet(key);
    }
  }

  @MapFeature.Require(SUPPORTS_REMOVE)
  public void testClear() {
    multimap().clear();
    assertCleared();
  }

public class LoadingCacheSingleThreadBenchmark {
  @Param({"1000", "2000"})
  int maximumSize;

  @Param("5000")
  int distinctKeys;

  @Param("4")
  int segments;

  // 1 means uniform likelihood of keys; higher means some keys are more popular
  // tweak this to control hit rate
  @Param("2.5")
  double concentration;

  Random random = new Random();

  LoadingCache<Integer, Integer> cache;

  int max;

   * Multimap#asMap} view determines the ordering in which data is written to the stream.
   *
   * <p>The serialized output consists of the number of distinct keys, and then for each distinct
   * key: the key, the number of values for that key, and the key's values.
   */
  static <K extends @Nullable Object, V extends @Nullable Object> void writeMultimap(
      Multimap<K, V> multimap, ObjectOutputStream stream) throws IOException {

	}

	if name := DB.Dialector.Name(); name == "postgres" {
		stmt := gorm.Statement{DB: DB}
		stmt.Parse(&Blog{})
		stmt.Schema.LookUpField("ID").Unique = true
		stmt.Parse(&Tag{})
		stmt.Schema.LookUpField("ID").Unique = true
		// postgers only allow unique constraint matching given keys
	}