- Fix: use force detach for azure disk ([#91948](https://github.com/kubernetes/kubernetes/pull/91948), [@andyzhangx](https://github.com/andyzhangx)) [SIG Cloud Provider]
- Fixes a problem with 63-second or 1-second connection delays with some VXLAN-based
  network plugins which was first widely noticed in 1.16 (though some users saw it
  earlier than that, possibly only with specific network plugins). If you were previously

 * efficient `max-age=0` directive instead:
 *
 * ```java
 * Request request = new Request.Builder()
 *     .cacheControl(new CacheControl.Builder()
 *         .maxAge(0, TimeUnit.SECONDS)
 *         .build())
 *     .url("http://publicobject.com/helloworld.txt")
 *     .build();
 * ```
 *
 * ## Force a Cache Response
 *

   *
   * @since 8.0
   */
  public static final byte BS = 8;

  /**
   * Horizontal Tabulation ('\t'): A format effector which controls the movement of the printing
   * position to the next in a series of predetermined positions along the printing line.
   * (Applicable also to display devices and the skip function on punched cards.)
   *
   * @since 8.0
   */
  public static final byte HT = 9;

  /**

import static com.google.common.base.Preconditions.checkArgument;
import static java.nio.charset.StandardCharsets.UTF_8;
import static java.util.Objects.requireNonNull;
import static java.util.concurrent.TimeUnit.SECONDS;

import com.google.common.annotations.GwtIncompatible;
import com.google.common.annotations.J2ktIncompatible;
import com.google.common.base.CharMatcher;
import com.google.common.base.Defaults;

        throw (T) t;
      }
    }
    new SneakyThrower<Error>().throwIt(t);
  }

  /**
   * Returns a {@link Stream} containing the elements of the first stream, followed by the elements
   * of the second stream, and so on.
   *
   * <p>This is equivalent to {@code Stream.of(streams).flatMap(stream -> stream)}, but the returned
   * stream may perform better.
   *
   * @see Stream#concat(Stream, Stream)
   */

 */

package com.google.common.hash;

import static com.google.common.truth.Truth.assertThat;
import static java.nio.charset.StandardCharsets.UTF_8;
import static java.util.concurrent.TimeUnit.SECONDS;
import static org.junit.Assert.assertThrows;

import com.google.common.base.Stopwatch;
import com.google.common.collect.ImmutableSet;
import com.google.common.hash.BloomFilterStrategies.LockFreeBitArray;

		Data:    "something else",
	}

	result := DB.Clauses(clause.OnConflict{
		OnConstraint: "some_id_other_id_unique",
		UpdateAll:    true,
	}).Create(&thing2)
	if result.Error != nil {
		t.Errorf("creating second thing: %v", result.Error)
	}

	var things []Thing
	if err := DB.Find(&things).Error; err != nil {
		t.Errorf("Failed, got error: %v", err)
	}

	if len(things) > 1 {

     * approach would be for each caller CAS it from null to a Set populated with its exception. But
     * there's another race: If the first thread fails with an exception and a second thread
     * immediately fails with the same exception:
     *
     * Thread1: calls setException(), which returns true, context switch before it can CAS
     * seenExceptions to its exception
     *

    //    were added to the queue. It's easily possible for one thread to take the head of the
    //    queue, immediately followed by another thread taking the next element in the queue. That
    //    second thread can then dispatch to the subscriber it took before the first thread does.
    //
    // All this makes me really wonder if there's any value in queueing here at all. A dispatcher

* Hashage de **mots de passe sécurisé** par défaut.
* Authentification par **jetons JWT**.
* Modèles **SQLAlchemy** (indépendants des extensions Flask, afin qu'ils puissent être utilisés directement avec des *workers* Celery).
* Modèle de démarrages basiques pour les utilisateurs (à modifier et supprimer au besoin).