return new DefaultModelVersionProcessor();
    }

    protected ModelValidator newModelValidator() {
        ModelVersionProcessor processor = newModelVersionPropertiesProcessor();
        return new DefaultModelValidator(processor);
    }

    protected ModelNormalizer newModelNormalizer() {
        return new DefaultModelNormalizer();
    }

    }

    public void test_processUrl() {
        assertEquals(0, urlFilter.cachedIncludeSet.size());
        assertEquals(0, urlFilter.cachedExcludeSet.size());

        urlFilter.processUrl("http://example.com/");

        assertEquals(0, urlFilter.cachedIncludeSet.size());
        assertEquals(0, urlFilter.cachedExcludeSet.size());
    }

See [Gradle platform architecture](platforms.md) for a list of the platforms and more details.

## Gradle runtimes

Gradle is also made up of several different processes that work together to "run the build", such as the Gradle daemon and the `gradlew` command.

Each process, or "runtime", applies different constraints to the code that runs in that process.

///

---

Dans ce scénario de burgers parallèles, vous êtes un ordinateur / programme 🤖 avec deux processeurs (vous et votre crush 😍) attendant 🕙 à deux et dédiant votre attention 🕙 à "attendre devant le comptoir" pour une longue durée.

Le fast-food a 8 processeurs (serveurs/cuisiniers) 👨‍🍳👨‍🍳👨‍🍳👨‍🍳👨‍🍳👨‍🍳👨‍🍳👨‍🍳. Alors que le fast-food de burgers concurrents en avait 2 (un serveur et un cuisinier).

        try {
            urlQueueService.add(crawlerContext.sessionId, url);
        } catch (final Exception e) {
            logger.warn("Failed to add url: " + url, e);
        }
        urlFilter.processUrl(url);
    }

    public String getSessionId() {
        return crawlerContext.sessionId;
    }

    public void setSessionId(final String sessionId) {

  }

  override fun handle(stream: Stream) {
    val task = serviceStreamTask(stream)
    results.add(task)
    task.run()
  }

  /** Returns a task that processes both request and response from [stream]. */
  private fun serviceStreamTask(stream: Stream): FutureTask<Void> {
    return FutureTask<Void> {
      stream.requestBody.use {
        stream.responseBody.use {

fi

OBJ_NAME=$(./mc ls myminio1/test-bucket --json | jq '.key' | sed 's/"//g')
if [[ ${OBJ_NAME} != "hosts" ]]; then
	echo "BUG: Expected object: hosts, Found: ${BKT_NAME}"
	exit 1
fi

# Finally kill running processes
pkill minio

import java.util.concurrent.BlockingQueue
import java.util.concurrent.LinkedBlockingQueue
import java.util.logging.Logger
import okhttp3.ExperimentalOkHttpApi

/**
 * Default dispatcher that processes a script of responses. Populate the script by calling [enqueueResponse].
 */
@ExperimentalOkHttpApi
open class QueueDispatcher : Dispatcher() {
  protected val responseQueue: BlockingQueue<MockResponse> = LinkedBlockingQueue()

### TLS with SNI Extension

**Only one process** in the server can be listening on a specific **port** in a specific **IP address**. There could be other processes listening on other ports in the same IP address, but only one for each combination of IP address and port.

TLS (HTTPS) uses the specific port `443` by default. So that's the port we would need.

	}
}

// incrementBytes add bytes reported for a bucket.
func (m *bucketMeasurement) incrementBytes(bytes uint64) {
	atomic.AddUint64(&m.bytesSinceLastWindow, bytes)
}

// updateExponentialMovingAverage processes the measurements captured so far.
func (m *bucketMeasurement) updateExponentialMovingAverage(endTime time.Time) {
	// Calculate aggregate avg bandwidth and exp window avg
	m.lock.Lock()
	defer func() {