}

  /**
   * Waits for the all the services to reach a terminal state. After this method returns all
   * services will either be {@linkplain Service.State#TERMINATED terminated} or {@linkplain
   * Service.State#FAILED failed}.
   */
  public void awaitStopped() {
    state.awaitStopped();
  }

  /**
   * Waits for the all the services to reach a terminal state for no more than the given time. After

    return Platform.stringIsNullOrEmpty(string);
  }

  /**
   * Returns a string, of length at least {@code minLength}, consisting of {@code string} prepended
   * with as many copies of {@code padChar} as are necessary to reach that length. For example,
   *
   * <ul>
   *   <li>{@code padStart("7", 3, '0')} returns {@code "007"}
   *   <li>{@code padStart("2010", 3, '0')} returns {@code "2010"}
   * </ul>
   *

  @CheckForNull
  public abstract C previous(C value);

  /**
   * Returns a signed value indicating how many nested invocations of {@link #next} (if positive) or
   * {@link #previous} (if negative) are needed to reach {@code end} starting from {@code start}.
   * For example, if {@code end = next(next(next(start)))}, then {@code distance(start, end) == 3}
   * and {@code distance(end, start) == -3}. As well, {@code distance(a, a)} is always zero.

        break;
      case FetchState::FINISHED:
        return TF_SetStatus(status, TF_OK, "");
    }
  }
  return TF_SetStatus(
      status, TF_INTERNAL,
      "Control flow should never reach the end of RamFileBlockCache::Fetch.");
}

int64_t RamFileBlockCache::Read(const std::string& filename, size_t offset,
                                size_t n, char* buffer, TF_Status* status) {
  if (n == 0) {

	globalDirSuffixWithSlash       = globalDirSuffix + slashSeparator

	// Add new global values here.
)

const (
	// Limit fields size (except file) to 1Mib since Policy document
	// can reach that size according to https://aws.amazon.com/articles/1434
	maxFormFieldSize = int64(1 * humanize.MiByte)

	// The maximum allowed time difference between the incoming request

      (if (isCanceled()) "canceled " else "") +
        (if (forWebSocket) "web socket" else "call") +
        " to " + redactedUrl()
    )
  }

  internal fun redactedUrl(): String = originalRequest.url.redact()

  inner class AsyncCall(
    private val responseCallback: Callback,
  ) : Runnable {
    @Volatile var callsPerHost = AtomicInteger(0)
      private set

        assertThrows(
            TimeoutException.class, () -> service.startAsync().awaitRunning(1, MILLISECONDS));
    assertThat(e)
        .hasMessageThat()
        .isEqualTo("Timed out waiting for Foo [STARTING] to reach the RUNNING state.");
  }

  private class TestService extends AbstractScheduledService {
    CyclicBarrier runFirstBarrier = new CyclicBarrier(2);
    CyclicBarrier runSecondBarrier = new CyclicBarrier(2);

  @CheckForNull
  public abstract C previous(C value);

  /**
   * Returns a signed value indicating how many nested invocations of {@link #next} (if positive) or
   * {@link #previous} (if negative) are needed to reach {@code end} starting from {@code start}.
   * For example, if {@code end = next(next(next(start)))}, then {@code distance(start, end) == 3}
   * and {@code distance(end, start) == -3}. As well, {@code distance(a, a)} is always zero.

   * than CPUs, supposing that each thread were bound to a CPU,
   * there would exist a perfect hash function mapping threads to
   * slots that eliminates collisions. When we reach capacity, we
   * search for this mapping by randomly varying the hash codes of
   * colliding threads.  Because search is random, and collisions
   * only become known via CAS failures, convergence can be slow,

            TimeoutException.class,
            () -> service.startAsync().awaitRunning(1, TimeUnit.MILLISECONDS));
    assertThat(e)
        .hasMessageThat()
        .isEqualTo("Timed out waiting for Foo [STARTING] to reach the RUNNING state.");
  }

  private class FakeService extends AbstractExecutionThreadService implements TearDown {

    private final ExecutorService executor = Executors.newSingleThreadExecutor();