* part of the smeared hash of the key not covered by the hashtable mask, whereas the low bits are
   * the "next" pointer (pointing to the next entry in the bucket chain), which will always be less
   * than or equal to the hashtable mask.
   *
   * <pre>
   * hash  = aaaaaaaa
   * mask  = 00000fff
   * next  = 00000bbb
   * entry = aaaaabbb
   * </pre>
   *

   * completing the returned {@code Future}.)
   *
   * <p>The returned {@code Future} attempts to keep its cancellation state in sync with that of the
   * input future and that of the future returned by the chain function. That is, if the returned
   * {@code Future} is cancelled, it will attempt to cancel the other two, and if either of the
   * other two is cancelled, the returned {@code Future} will receive a callback in which it will

        }

        // options: interpolate
        if (context.options != null) {
            context.options = context.options.interpolate(Interpolator.chain(
                    context.extraInterpolationSource()::get,
                    context.userProperties::get,
                    context.systemProperties::get));
        }

little of the right-hand bit to try the effect:  the next moment
she felt a violent blow underneath her chin:  it had struck her
foot!

  She was a good deal frightened by this very sudden change, but
she felt that there was no time to be lost, as she was shrinking
rapidly; so she set to work at once to eat some of the other bit.
Her chin was pressed so closely against her foot, that there was

  }

  /**
   * Returns a stream of this fluent iterable's contents (similar to calling {@link
   * Collection#stream} on a collection).
   *
   * <p><b>Note:</b> the earlier in the chain you can switch to {@code Stream} usage (ideally not
   * going through {@code FluentIterable} at all), the more performant and idiomatic your code will
   * be. This method is a transitional aid, to be used only when really necessary.

Angesichts der Einfachheit von Flask schien es eine gute Ergänzung zum Erstellen von APIs zu sein. Als Nächstes musste ein „Django REST Framework“ für Flask gefunden werden.

/// check | Inspirierte **FastAPI**

   *
   * <p>Invalid: - Collected: key/value was partially collected, but not yet cleaned up
   */
  interface InternalEntry<K, V, E extends InternalEntry<K, V, E>> {
    /** Gets the next entry in the chain. */
    E getNext();

    /** Gets the entry's hash. */
    int getHash();

    /** Gets the key for this entry. */
    K getKey();

    /** Gets the value for the entry. */
    V getValue();

	// prepare
	u := User{Name: "GenericsSetUpdate_Before", Age: 30}
	if err := gorm.G[User](DB).Create(ctx, &u); err != nil {
		t.Fatalf("prepare user failed: %v", err)
	}

	// update with Set after chain
	newName := "GenericsSetUpdate_After"
	newAge := uint(31)
	rows, err := gorm.G[User](DB).
		Where("id = ?", u.ID).
		Set(
			clause.Assignment{Column: clause.Column{Name: "name"}, Value: newName},

	Raw(sql string, values ...interface{}) ExecInterface[T]
	Exec(ctx context.Context, sql string, values ...interface{}) error
	CreateInterface[T]
}

type CreateInterface[T any] interface {
	ExecInterface[T]
	// chain methods available at start; Select/Omit keep CreateInterface to allow Create chaining
	Scopes(scopes ...func(db *Statement)) ChainInterface[T]
	Where(query interface{}, args ...interface{}) ChainInterface[T]

///

/// check | Ideias que inspiraram o **FastAPI**

Hug inspirou partes do APIStar, e foi uma das ferramentas que achei mais promissoras, ao lado do APIStar.

Hug ajudou a inspirar o **FastAPI** a usar anotações de tipo do Python para declarar parâmetros e para gerar um schema definindo a API automaticamente.