Télécharger et installer les dépendances de paquets **peut prendre des minutes**, mais utiliser le **cache** ne **prendra que quelques secondes** au plus.

import static java.lang.Thread.State.WAITING;
import static java.util.concurrent.Executors.newSingleThreadExecutor;
import static java.util.concurrent.TimeUnit.MILLISECONDS;
import static java.util.concurrent.TimeUnit.MINUTES;
import static java.util.concurrent.TimeUnit.NANOSECONDS;
import static java.util.concurrent.TimeUnit.SECONDS;

import com.google.common.base.Equivalence;
import com.google.common.base.Ticker;

import static java.lang.Thread.State.WAITING;
import static java.util.concurrent.Executors.newSingleThreadExecutor;
import static java.util.concurrent.TimeUnit.MILLISECONDS;
import static java.util.concurrent.TimeUnit.MINUTES;
import static java.util.concurrent.TimeUnit.NANOSECONDS;
import static java.util.concurrent.TimeUnit.SECONDS;

import com.google.common.base.Equivalence;
import com.google.common.base.Ticker;

Das Herunterladen und Installieren der Paketabhängigkeiten **könnte Minuten dauern**, aber die Verwendung des **Cache** würde höchstens **Sekunden** dauern.

    }
  }


  @J2ktIncompatible // slow enough to cause flakiness
  @GwtIncompatible // far too slow
  public void testSqrtOfPerfectSquareAsDoubleIsPerfect() {
    // This takes just over a minute on my machine.
    for (long n = 0; n <= LongMath.FLOOR_SQRT_MAX_LONG; n++) {
      long actual = (long) Math.sqrt((double) (n * n));
      assertTrue(actual == n);
    }
  }

* PidPressure evicts pods from lowest priority to highest priority ([#72844](https://github.com/kubernetes/kubernetes/pull/72844), [@dashpole](https://github.com/dashpole))

If this happens to you, you can wait at most 10 minutes for the replication controller to start a resync, the extra pods will then be deleted. Or, you can manually trigger a resync by change the replicas in the spec of the replication controller.

    # Due to a known MSVC compiler issue
    # https://github.com/tensorflow/tensorflow/issues/10521
    # Overriding eigen strong inline speeds up the compiling of
    # conv_grad_ops_3d.cc and conv_ops_3d.cc by 20 minutes,
    # but this also hurts the performance. Let users decide what they want.
    write_to_bazelrc('build --define=override_eigen_strong_inline=true')


def config_info_line(name, help_text):

	if !globalIsTesting {
		go s.monitorAndConnectEndpoints(ctx, defaultMonitorConnectEndpointInterval)
	}

	return s, nil
}

// cleanup ".trash/" folder every 5m minutes with sufficient sleep cycles, between each
// deletes a dynamic sleeper is used with a factor of 10 ratio with max delay between
// deletes to be 2 seconds.
func (s *erasureSets) cleanupDeletedObjects(ctx context.Context) {

                .build();

        final long timeToLive = getInitParameter(TIME_TO_LIVE_PROPERTY, 5L, Long.class);
        final TimeUnit timeUnit = TimeUnit.valueOf(getInitParameter(TIME_TO_LIVE_TIME_UNIT_PROPERTY, "MINUTES", String.class));
        final int maxTotal = getInitParameter(MAX_TOTAL_CONNECTION_PROPERTY, 200, Integer.class);
        final int defaultMaxPerRoute = getInitParameter(DEFAULT_MAX_CONNECTION_PER_ROUTE_PROPERTY, 20, Integer.class);