result = jobExecutor.execute("test", "script with\ttab");
        assertEquals("Executed: test script with\ttab", result);

        result = jobExecutor.execute("test", "script with \"quotes\"");
        assertEquals("Executed: test script with \"quotes\"", result);

        result = jobExecutor.execute("test", "script with 'single quotes'");

 * href="https://www.javadoc.io/doc/com.github.ben-manes.caffeine/caffeine/latest/com.github.benmanes.caffeine/com/github/benmanes/caffeine/cache/AsyncCacheLoader.html#asyncLoad(K,java.util.concurrent.Executor)">{@code
 * AsyncCacheLoader.asyncLoad}</a> must return a {@code CompletableFuture}. Users of Guava's {@link
 * com.google.common.util.concurrent.ListenableFuture} can adapt between the two {@code Future}

Vous pouvez définir une logique (du code) qui doit être exécutée avant que l'application ne **démarre**. Cela signifie que ce code sera exécuté **une seule fois**, **avant** que l'application ne **commence à recevoir des requêtes**.

programs that TensorFlow executes. TensorFlow programs are encoded as
computation
[**graphs**](https://developers.google.com/machine-learning/glossary/#graph).
Since models are practically programs that TensorFlow executes, using untrusted
models or graphs is equivalent to running untrusted code.

If you need to run untrusted models, execute them inside a

 * specific language governing permissions and limitations
 * under the License.
 */
package org.apache.maven.plugin.lifecycle;

/**
 * A set of goals to execute.
 *
 * @version $Revision$ $Date$
 */
@SuppressWarnings("all")
public class Execution implements java.io.Serializable {

    // --------------------------/
    // - Class/Member Variables -/
    // --------------------------/

    /**

 *
 * @since 4.0.0
 */
@Experimental
@Documented
@Retention(RetentionPolicy.RUNTIME)
@Target(ElementType.TYPE)
@Inherited
public @interface Execute {
    /**
     * Lifecycle phase to fork. Note that specifying a phase overrides specifying a goal.
     * @return the phase
     */
    @Nonnull
    String phase() default "";

    /**

    *   Options returned by `tf.data.Dataset.options()` are no longer mutable.
    *   tf.data input pipelines can now be executed in debug mode, which
        disables any asynchrony, parallelism, or non-determinism and forces
        Python execution (as opposed to trace-compiled graph execution) of
        user-defined functions passed into transformations such as `map`. The
        debug mode can be enabled through

                    logger.debug("Process {} is already executed.", p);
                }
            }
        }

        /**
         * Checks if the destroyer has been executed.
         * @return True if executed, false otherwise.
         */
        public boolean isExecuted() {
            return executed.get();
        }
    }

    /**

Lorsqu'un **conteneur** est démarré, il exécutera cette commande/ce programme (bien que vous puissiez la/le remplacer et faire exécuter une autre commande/un autre programme).

        return (context, query, boost) -> filter.execute(context, query, boost, chain);
    }

    /**
     * Creates the default filter chain that executes query commands.
     * This chain looks up the appropriate query command based on the query class name
     * and executes it. If no command is found, throws an InvalidQueryException.
     *