range.lowerBoundType() == BoundType.CLOSED,
          range.upperEndpoint(),
          range.upperBoundType() == BoundType.CLOSED);
    } else if (range.hasLowerBound()) {
      return set.tailSet(range.lowerEndpoint(), range.lowerBoundType() == BoundType.CLOSED);
    } else if (range.hasUpperBound()) {
      return set.headSet(range.upperEndpoint(), range.upperBoundType() == BoundType.CLOSED);
    }
    return checkNotNull(set);

   * ListenableFuture<Integer> faultTolerantFuture = Futures.catchingAsync(
   *     fetchCounterFuture, FetchException.class, x -> immediateFuture(0), directExecutor());
   * }
   *
   * <p>The fallback can also choose to propagate the original exception when desired:
   *
   * {@snippet :
   * ListenableFuture<Integer> fetchCounterFuture = ...;
   *
   * // Falling back to a zero counter only in case the exception was a

   * without contention. Because assignment of entries to these partitions is not necessarily
   * uniform, the actual concurrency observed may vary. Ideally, you should choose a value to
   * accommodate as many threads as will ever concurrently modify the table. Using a significantly
   * higher value than you need can waste space and time, and a significantly lower value can lead

	total := serverPools.TotalAvailable()
	if total == 0 {
		return -1
	}
	// choose when we reach this many
	choose := rand.Uint64() % total
	atTotal := uint64(0)
	for _, pool := range serverPools {
		atTotal += pool.Available
		if atTotal > choose && pool.Available > 0 {
			return pool.Index
		}
	}
	// Should not happen, but print values just in case.

            if (
                // ie modal dialog fix
                e.type == "focusin" ||
                target.closest(this.element).length ||
                target.closest(this.container).length ||
                target.closest('.calendar-table').length
                ) return;
            this.hide();
            this.element.trigger('outsideClick.daterangepicker', this);
        },

   * and accesses that were performed on the map. The queue is drained on writes and when it exceeds
   * its capacity threshold.
   *
   * The Least Recently Used page replacement algorithm was chosen due to its simplicity, high hit
   * rate, and ability to be implemented with O(1) time complexity. The initial LRU implementation
   * operates per-segment rather than globally for increased implementation simplicity. We expect

        } finally {
            EntityUtils.consumeQuietly(httpEntity);
        }
    }

    /**
     * Closes resources associated with the HTTP request.
     *
     * @param httpRequest The HTTP request to abort
     * @param responseData The response data to close
     */
    protected void closeResources(final HttpUriRequest httpRequest, final ResponseData responseData) {

    assertEquals(a, b);
  }

  @SuppressWarnings("TestExceptionChecker") // see comment below
  public <T> void testVariableTypeTokenNotAllowed() {
    /*
     * We'd use assertThrows here, but that causes no exception to be thrown under Java 8,
     * presumably because the ThrowingRunnable lambda triggers some kind of bug in Java 8's
     * reflection implementation.
     */
    try {
      new TypeToken<T>() {};

    assertEquals(a, b);
  }

  @SuppressWarnings("TestExceptionChecker") // see comment below
  public <T> void testVariableTypeTokenNotAllowed() {
    /*
     * We'd use assertThrows here, but that causes no exception to be thrown under Java 8,
     * presumably because the ThrowingRunnable lambda triggers some kind of bug in Java 8's
     * reflection implementation.
     */
    try {
      new TypeToken<T>() {};

    assertThat(c0e0.exchangeIndex).isEqualTo(0)
    val c0e1 = server.takeRequest()
    assertThat(c0e1.connectionIndex).isEqualTo(0)
    assertThat(c0e1.exchangeIndex).isEqualTo(1)
    response1.close()
    response2.close()
  }

  @ParameterizedTest
  @ArgumentsSource(ProtocolParamProvider::class)
  fun connectionWindowUpdateAfterCanceling(protocol: Protocol) {
    setUp(protocol)
    server.enqueue(