M invertFrom(Multimap<? extends V, ? extends K> source, M dest) {
    checkNotNull(dest);
    for (Map.Entry<? extends V, ? extends K> entry : source.entries()) {
      dest.put(entry.getValue(), entry.getKey());
    }
    return dest;
  }

  /**
   * Returns a synchronized (thread-safe) multimap backed by the specified multimap. In order to

      M invertFrom(Multimap<? extends V, ? extends K> source, M dest) {
    checkNotNull(dest);
    for (Map.Entry<? extends V, ? extends K> entry : source.entries()) {
      dest.put(entry.getValue(), entry.getKey());
    }
    return dest;
  }

  /**
   * Returns a synchronized (thread-safe) multimap backed by the specified multimap. In order to

		parseDependence               func(value interface{}, addToList bool)
	)

	parseDependence = func(value interface{}, addToList bool) {
		dep := Dependency{
			Statement: &gorm.Statement{DB: m.DB, Dest: value},
		}
		beDependedOn := map[*schema.Schema]bool{}
		// support for special table name
		if err := dep.ParseWithSpecialTableName(value, m.DB.Statement.Table); err != nil {

## Como Começar

Existem duas maneiras de testar o Fess. A primeira é baixar e instalar você mesmo. A segunda é usar [Docker](https://www.docker.com/products/docker-engine).

### Baixar e Instalar/Executar

O Fess 15.3 já está disponível e pode ser baixado na [página de lançamentos](https://github.com/codelibs/fess/releases "download"). As opções de download incluem: deb, rpm, zip.

Os comandos a seguir mostram como usar o download em formato zip:

  }

  public void testToArray_threadSafe() {
    for (int delta : new int[] {+1, 0, -1}) {
      for (int i = 0; i < VALUES.length; i++) {
        List<Double> list = Doubles.asList(VALUES).subList(0, i);
        Collection<Double> misleadingSize = Helpers.misleadingSizeCollection(delta);
        misleadingSize.addAll(list);
        double[] arr = Doubles.toArray(misleadingSize);

  }

  public void testToArray_threadSafe() {
    for (int delta : new int[] {+1, 0, -1}) {
      for (int i = 0; i < VALUES.length; i++) {
        List<Long> list = Longs.asList(VALUES).subList(0, i);
        Collection<Long> misleadingSize = Helpers.misleadingSizeCollection(delta);
        misleadingSize.addAll(list);
        long[] arr = Longs.toArray(misleadingSize);

  }

  public void testToArray_threadSafe() {
    for (int delta : new int[] {+1, 0, -1}) {
      for (int i = 0; i < VALUES.length; i++) {
        List<Short> list = Shorts.asList(VALUES).subList(0, i);
        Collection<Short> misleadingSize = Helpers.misleadingSizeCollection(delta);
        misleadingSize.addAll(list);
        short[] arr = Shorts.toArray(misleadingSize);

    .includeNull(false)                     // Skip null values
    .converter("dateField", new DateConverter("yyyy-MM-dd"));

BeanUtil.copyBeanToBean(source, dest, options);
```

## 🤝 Contributing

We welcome contributions! Please see our contributing guidelines for details.

### Development Workflow
1. **Fork** the repository on GitHub

pkg database/sql, method (*DB) Conn(context.Context) (*Conn, error)
pkg database/sql, type Conn struct
pkg database/sql, type Out struct
pkg database/sql, type Out struct, Dest interface{}
pkg database/sql, type Out struct, In bool
pkg database/sql, var ErrConnDone error
pkg database/sql/driver, type NamedValueChecker interface { CheckNamedValue }

Isso na verdade inspirou a atualização de partes do Pydantic, para dar suporte ao mesmo estilo de declaração da validação (toda essa funcionalidade já está disponível no Pydantic).

///

### [Hug](https://github.com/hugapi/hug) { #hug }