site:

   */
  public String join(Iterable<?> parts) {
    /*
     * If we can quickly determine how many elements there are likely to be, then we can use the
     * fastest possible implementation, which delegates to the array overload of String.join.
     *
     * In theory, we can quickly determine the size of any Collection. However, thanks to

## Recap { #recap }

With what you have seen up to now, you can set up a secure **FastAPI** application using standards like OAuth2 and JWT.

In almost any framework handling the security becomes a rather complex subject quite quickly.

Many packages that simplify it a lot have to make many compromises with the data model, database, and available features. And some of these packages that simplify things too much actually have security flaws underneath.

It doesn't matter if it has other characters like `:` or if it is a URL.

Those details are implementation specific.

For OAuth2 they are just strings.

///

## Global view { #global-view }

First, let's quickly see the parts that change from the examples in the main **Tutorial - User Guide** for [OAuth2 with Password (and hashing), Bearer with JWT tokens](../../tutorial/security/oauth2-jwt.md){.internal-link target=_blank}. Now using OAuth2 scopes:

   *
   * <p>The expected (but not guaranteed) performance of the special implementation differs from
   * {@code getStackTrace} in one main way: The {@code lazyStackTrace} call itself returns quickly
   * by delaying the per-stack-frame work until each element is accessed. Roughly speaking:
   *
   * <ul>
   *   <li>{@code getStackTrace} takes {@code stackSize} time to return but then negligible time to

  }

  /**
   * Returns an {@code ImmutableList} containing the same elements, in the same order, as this
   * collection.
   *
   * <p><b>Performance note:</b> in most cases this method can return quickly without actually
   * copying anything. The exact circumstances under which the copy is performed are undefined and
   * subject to change.
   *
   * @since 2.0
   */
  public ImmutableList<E> asList() {

 * the configuration properties of the original map. During deserialization, if the original map had
 * used weak references, the entries are reconstructed as they were, but it's not unlikely they'll
 * be quickly garbage-collected before they are ever accessed.
 *
 * <p>{@code new MapMaker().weakKeys().makeMap()} is a recommended replacement for {@link

	if !skipAccessChecks(opts.Bucket) {
		// Stat a volume entry.
		if err = Access(volumeDir); err != nil {
			return convertAccessError(err, errVolumeAccessDenied)
		}
	}

	// Use a small block size to start sending quickly
	w := newMetacacheWriter(wr, 16<<10)
	w.reuseBlocks = true // We are not sharing results, so reuse buffers.
	defer w.Close()
	out, err := w.stream()
	if err != nil {
		return err
	}
	defer xioutil.SafeClose(out)

      manager.startAsync().awaitHealthy();
      manager.stopAsync().awaitStopped(10, SECONDS);
    }
  }

  /**
   * This service will shut down very quickly after stopAsync is called and uses a background thread
   * so that we know that the stopping() listeners will execute on a different thread than the
   * terminated() listeners.
   */

   *
   * <p>Lookups by row key are often faster than lookups by column key, because the data is stored
   * in a {@code Map<R, Map<C, V>>}. A method call like {@code column(columnKey).get(rowKey)} still
   * runs quickly, since the row key is provided. However, {@code column(columnKey).size()} takes
   * longer, since an iteration across all row keys occurs.
   *