private static final long serialVersionUID = 1L;

    /**
     * Default initial capacity.
     */
    protected static final int DEFAULT_INITIAL_CAPACITY = 16;

    /**
     * Default load factor.
     */
    protected static final float DEFAULT_LOAD_FACTOR = 0.75f;

    /**
     * Upper limit on the number of entries.
     */
    protected final int limitSize;

    /**

 * </ol>
 *
 * <h3>Starting a pipeline</h3>
 *
 * Start a {@code ClosingFuture} pipeline {@linkplain #submit(ClosingCallable, Executor) from a
 * callable block} that may capture objects for later closing. To start a pipeline from a {@link
 * ListenableFuture} that doesn't create resources that should be closed later, you can use {@link
 * #from(ListenableFuture)} instead.
 *
 * <h3>Derived steps</h3>

        ArgumentCaptor<Integer> rnCap = ArgumentCaptor.forClass(Integer.class);

        verify(transport).getDfsReferrals(eq(ctx), nameCap.capture(), hostCap.capture(), domCap.capture(), rnCap.capture());
        assertEquals(name, nameCap.getValue());
        assertEquals(host, hostCap.getValue());
        assertEquals(domain, domCap.getValue());
        assertEquals(rn, rnCap.getValue());

   * {@code ArrayList<?>::set}.
   *
   * <p>Instead, {@code <?>} will be resolved to a capture in the form of a type variable {@code
   * <capture-of-? extends Object>}, effectively preventing {@code set} from accepting any type.
   */
  static TypeResolver invariantly(Type contextType) {
    Type invariantContext = WildcardCapturer.INSTANCE.capture(contextType);

        // Capture one known interaction to verify argument integrity
        ArgumentCaptor<Integer> codeCap = ArgumentCaptor.forClass(Integer.class);
        ArgumentCaptor<String> msgCap = ArgumentCaptor.forClass(String.class);
        verify(handler, atLeastOnce()).handle(codeCap.capture(), msgCap.capture());

          sink.writeUtf8("-------\n")
          for (i in 2..997) {
            sink.writeUtf8(String.format(" * $i = ${factor(i)}\n"))
          }
        }

        private fun factor(n: Int): String {
          for (i in 2 until n) {
            val x = n / i
            if (x * i == n) return "${factor(x)} × $i"
          }
          return n.toString()
        }
      }

    val request =
      Request(

In particular, when running on **Kubernetes** you will probably **not** want to use workers and instead run **a single Uvicorn process per container**, but I'll tell you about it later in that chapter.

///

## Multiple Workers { #multiple-workers }

	}
}

// Sleep sleeps the specified time multiplied by the sleep factor.
// If the factor is updated the sleep will be done again with the new factor.
func (d *dynamicSleeper) Sleep(ctx context.Context, base time.Duration) {
	for {
		// Grab current values
		d.mu.RLock()
		minWait, maxWait := d.minSleep, d.maxSleep
		factor := d.factor
		cycle := d.cycle
		d.mu.RUnlock()

     * Executes query processing through the filter chain.
     *
     * @param context the query context containing search parameters and state
     * @param query the Lucene query to be processed
     * @param boost the boost factor to apply to the query
     * @return the processed OpenSearch QueryBuilder
     */
    public QueryBuilder execute(final QueryContext context, final Query query, final float boost) {

# Simple OAuth2 with Password and Bearer { #simple-oauth2-with-password-and-bearer }

Now let's build from the previous chapter and add the missing parts to have a complete security flow.

## Get the `username` and `password` { #get-the-username-and-password }

We are going to use **FastAPI** security utilities to get the `username` and `password`.