assertEquals(LongMath.isPrime(n), IntMath.isPrime(n));
    }
  }

  private static int force32(int value) {
    // GWT doesn't consistently overflow values to make them 32-bit, so we need to force it.
    return value & 0xffffffff;
  }

	case madmin.DeleteBucketBktOp, madmin.ForceDeleteBucketBktOp:
		err = globalSiteReplicationSys.PeerBucketDeleteHandler(ctx, bucket, DeleteBucketOptions{
			Force:      operation == madmin.ForceDeleteBucketBktOp,
			SRDeleteOp: getSRBucketDeleteOp(true),
		})
	case madmin.PurgeDeletedBucketOp:
		globalSiteReplicationSys.purgeDeletedBucket(ctx, objectAPI, bucket)
	}

///

As SQLModel is based on SQLAlchemy, you can easily use **any database supported** by SQLAlchemy (which makes them also supported by SQLModel), like:

* PostgreSQL
* MySQL
* SQLite

    assertThrows(IllegalArgumentException.class, () -> ImmutableIntArray.builder(-1));
  }

  /**
   * If there's a bug in builder growth, we wouldn't know how to expose it. So, brute force the hell
   * out of it for a while and see what happens.
   */
  public void testBuilder_bruteForce() {
    for (int i = 0; i < reduceIterationsIfGwt(100); i++) {

    assertThrows(IllegalArgumentException.class, () -> ImmutableDoubleArray.builder(-1));
  }

  /**
   * If there's a bug in builder growth, we wouldn't know how to expose it. So, brute force the hell
   * out of it for a while and see what happens.
   */
  public void testBuilder_bruteForce() {
    for (int i = 0; i < reduceIterationsIfGwt(100); i++) {

          .url(server.url("/"))
          .build(),
      )
    val response1 = call1.execute()
    assertThat(response1.body.string()).isEqualTo("abc")
    response1.close()

    // Force a fresh connection for the next request.
    client.connectionPool.evictAll()

    // Confirm that a second request also succeeds. This should detect caching problems.
    server.enqueue(
      MockResponse.Builder()

      assertEquals(LongMath.isPrime(n), IntMath.isPrime(n));
    }
  }

  private static int force32(int value) {
    // GWT doesn't consistently overflow values to make them 32-bit, so we need to force it.
    return value & 0xffffffff;
  }

      listener.onClosed(this, code, reason!!)
    }

    readerToClose?.closeQuietly()
    streamsToClose?.closeQuietly()
  }

  /** For testing: force this web socket to release its threads. */
  @Throws(InterruptedException::class)
  fun tearDown() {
    taskQueue.shutdown()
    taskQueue.idleLatch().await(10, TimeUnit.SECONDS)
  }

  /**
   * Sends a reply to an incoming stream.
   *
   * @param outFinished true to eagerly finish the output stream to send data to the remote peer.
   *     Corresponds to `FLAG_FIN`.
   * @param flushHeaders true to force flush the response headers. This should be true unless the
   *     response body exists and will be written immediately.
   */
  @Throws(IOException::class)
  fun writeHeaders(
    responseHeaders: List<Header>,

However, while we chose to use the xDS *transport protocol*, we chose to not use the xDS resource types, such as Clusters and Listeners.
In our experience and testing, these types force us to represent data in inefficient ways because they are general purpose.
Ztunnel is not general purpose; it has an extremely tight goal.