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)

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:

// along with this program.  If not, see <http://www.gnu.org/licenses/>.

// Package etag provides an implementation of S3 ETags.
//
// Each S3 object has an associated ETag that can be
// used to e.g. quickly compare objects or check whether
// the content of an object has changed.
//
// In general, an S3 ETag is an MD5 checksum of the object
// content. However, there are many exceptions to this rule.
//

   *
   * <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

      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.
   *

  }

  /**
   * 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() {

If you have an API that does a comparable amount of computations every time and you have a lot of clients, then the **CPU utilization** will probably *also be stable* (instead of constantly going up and down quickly).

### Examples of Replication Tools and Strategies { #examples-of-replication-tools-and-strategies }

		}
		objsValid++

		// Add all valid to candidates.
		r.candidates = append(r.candidates, xl.versions)

		// We select the first object we find as a candidate and see if all match that.
		// This is to quickly identify if all agree.
		if selected == nil {
			selected = entry
			objsAgree = 1
			continue
		}
		// Names match, check meta...
		if prefer, ok := entry.matches(selected, r.strict); ok {

   * iterator will generally throw a {@link ConcurrentModificationException}. Thus, in the face of
   * concurrent modification, the iterator fails quickly and cleanly, rather than risking arbitrary,
   * non-deterministic behavior at an undetermined time in the future.
   *
   * <p>Note that the fail-fast behavior of an iterator cannot be guaranteed as it is, generally