* <li>or <code>null</code> if the resource cannot be resolved.
     * </ul>
     *
     * @return A <code>String[]</code> array of files and directories,
     *         workgroups, servers, or shares depending on the context of the
     *         resource URL
     * @throws SmbException
     */
    public String[] list () throws SmbException {

   * java.util.NoSuchElementException NoSuchElementException}.
   *
   * @throws IllegalStateException if the instance is absent ({@link #isPresent} returns {@code
   *     false}); depending on this <i>specific</i> exception type (over the more general {@link
   *     RuntimeException}) is discouraged
   */
  public abstract T get();

  /**

The memory model is specified more formally in the next section.
</p>

<p>
A data race is defined as
a write to a memory location happening concurrently with another read or write to that same location,
unless all the accesses involved are atomic data accesses as provided by the <code>sync/atomic</code> package.

 *       is modified.
 *   <li><b>Null-hostility.</b> This collection will never contain a null element.
 *   <li><b>Deterministic iteration.</b> The iteration order is always well-defined, depending on
 *       how the collection was created. Typically this is insertion order unless an explicit
 *       ordering is otherwise specified (e.g. {@link ImmutableSortedSet#naturalOrder}). See the

There are situations when identity provider does not provide user claims in `id_token` instead it needs to be retrieved from UserInfo endpoint, this extension is only useful in this scenario. This is rare so use it accordingly depending on your Identity provider implementation. `access_token` is available as part of the OIDC authentication flow similar to `id_token`.

| Params     | Value    |
| :--        | :--      |
| *Type*     | *String* |

      int nextPermitsToAcquire = max(1, random.nextInt(permits));
      permits -= nextPermitsToAcquire;
      rateLimiter.acquire(nextPermitsToAcquire);
    }
    rateLimiter.acquire(1); // to repay for any pending debt
    return NANOSECONDS.toMillis(stopwatch.instant - startTime);
  }

  private void assertEvents(String... events) {
    assertEquals(Arrays.toString(events), stopwatch.readEventsAndClear());
  }

      int nextPermitsToAcquire = max(1, random.nextInt(permits));
      permits -= nextPermitsToAcquire;
      rateLimiter.acquire(nextPermitsToAcquire);
    }
    rateLimiter.acquire(1); // to repay for any pending debt
    return NANOSECONDS.toMillis(stopwatch.instant - startTime);
  }

  private void assertEvents(String... events) {
    assertEquals(Arrays.toString(events), stopwatch.readEventsAndClear());
  }

    SQLModel will know that something declared as `str` will be a SQL column of type `TEXT` (or `VARCHAR`, depending on the database).

### Create an Engine

A SQLModel `engine` (underneath it's actually a SQLAlchemy `engine`) is what **holds the connections** to the database.

    }

    /**
     * Constructs a new iterator over all values for the specified key starting at the specified
     * index. This constructor is optimized so that it starts at either the head or the tail,
     * depending on which is closer to the specified index. This allows adds to the tail to be done
     * in constant time.
     *
     * @throws IndexOutOfBoundsException if index is invalid
     */

  phase (Succeeded or Failed, depending on the exit statuses of the pod containers) to pods which
  are deleted while running.
  
  This fixes the issue for jobs using pod failure policy (with JobPodFailurePolicy and PodDisruptionConditions 
  feature gates enabled) that their pods could get stuck in the pending phase when deleted.