*   }
 * };
 * LoadingCache<Key, Graph> cache = CacheBuilder.newBuilder().build(loader);
 * }</pre>
 *
 * <p>Since this example doesn't support reloading or bulk loading, if you're able to use lambda
 * expressions it can be specified even more easily:
 *
 * <pre>{@code
 * CacheLoader<Key, Graph> loader = CacheLoader.from(key -> createExpensiveGraph(key));
 * }</pre>
 *
 * @author Charles Fry
 * @since 10.0

==============================================================================*/

// MakeCleanup(f) returns an RAII cleanup object that calls 'f' in its
// destructor. The easiest way to use MakeCleanup is with a lambda argument,
// capturing the return value in an 'auto' local variable. Most users will not
// need more sophisticated syntax than that.
//
// Example:
//   void func() {
//     FILE* fp = fopen("data.txt", "r");

 * appropriate primitive specialization such as {@code IntPredicate}) instead whenever possible.
 * Otherwise, at least reduce <i>explicit</i> dependencies on this type by using lambda expressions
 * or method references instead of classes, leaving your code easier to migrate in the future.
 *
 * <p>To use a reference of this type (say, named {@code guavaPredicate}) in a context where {@code

// along with this program.  If not, see <http://www.gnu.org/licenses/>.

package event

import (
	"fmt"
	"net/http"
	"strings"
	"sync"
)

// Target - lambda target interface
type Target interface {
	ID() TargetID
	IsActive() (bool, error)
	Send(Event) (*http.Response, error)
	Stat() TargetStat
	Close() error
}

func IsMIPSMUL(op obj.As) bool {
	switch op {
	case mips.AMUL, mips.AMULU, mips.AMULV, mips.AMULVU,
		mips.ADIV, mips.ADIVU, mips.ADIVV, mips.ADIVVU,
		mips.AREM, mips.AREMU, mips.AREMV, mips.AREMVU,
		mips.AMADD, mips.AMSUB:
		return true
	}
	return false
}

func mipsRegisterNumber(name string, n int16) (int16, bool) {
	switch name {
	case "F":
		if 0 <= n && n <= 31 {
			return mips.REG_F0 + n, true
		}

 * appropriate primitive specialization such as {@code IntPredicate}) instead whenever possible.
 * Otherwise, at least reduce <i>explicit</i> dependencies on this type by using lambda expressions
 * or method references instead of classes, leaving your code easier to migrate in the future.
 *
 * <p>The {@link Predicates} class provides common predicates and related utilities.
 *

            return res

        raise


def normalize_ports(res):
    try:
        spec = res["spec"]
        if spec is None:
            return res
        ports = sorted(spec['ports'], key=lambda x: x["port"])
        spec['ports'] = ports

        return res
    except KeyError as ke:
        if 'spec' in str(ke) or 'ports' in str(ke) or 'port' in str(ke):
            return res

        raise

essas imagens de contêiner **incrementalmente**, adicionando **uma camada em cima da outra**, começando do topo do `Dockerfile` e adicionando qualquer arquivo criado por cada uma das instruções do `Dockerfile`.

Docker e ferramentas similares também usam um **cache interno** ao construir a imagem, se um arquivo não mudou desde a última vez que a imagem do contêiner foi construída, então ele irá **reutilizar a mesma camada** criada na última vez, ao invés de copiar o arquivo novamente e criar...

      }

      if (scheduleAndDecide(task, delayNanos, recurrence = false)) {
        taskRunner.kickCoordinator(this)
      }
    }
  }

  /**
   * Overload of [schedule] that uses a lambda for a repeating task.
   *
   * TODO: make this inline once this is fixed: https://github.com/oracle/graal/issues/3466
   */
  fun schedule(
    name: String,
    delayNanos: Long = 0L,
    block: () -> Long,

   * instead.
   *
   * <p>Unfortunately, the method reference {@code Optional::toJavaUtil} will not work, because it
   * could refer to either the static or instance version of this method. Write out the lambda
   * expression {@code o -> Optional.toJavaUtil(o)} instead.
   *
   * @since 21.0
   */
  @CheckForNull
  public static <T> java.util.Optional<T> toJavaUtil(@CheckForNull Optional<T> googleOptional) {