@WeakOuter
  private final class ServiceDelegate extends AbstractService {

    // A handle to the running task so that we can stop it when a shutdown has been requested.
    // These two fields are volatile because their values will be accessed from multiple threads.
    private volatile @Nullable Cancellable runningTask;
    private volatile @Nullable ScheduledExecutorService executorService;

 * Unit test for {@link Resources}.
 *
 * @author Chris Nokleberg
 */

@NullUnmarked
public class ResourcesTest extends IoTestCase {

  @AndroidIncompatible // wouldn't run anyway, but strip the source entirely because of b/230620681
  public static TestSuite suite() {
    TestSuite suite = new TestSuite();
    suite.addTest(
        ByteSourceTester.tests(

That means that if you want to update the item `bar` using `PUT` with a body containing:

```Python
{
    "name": "Barz",
    "price": 3,
    "description": None,
}
```

because it doesn't include the already stored attribute `"tax": 20.2`, the input model would take the default value of `"tax": 10.5`.

And the data would be saved with that "new" `tax` of `10.5`.

 *   <li>throwing an exception of some kind
 *   <li>or the usual, <i>robust</i> behavior, which all known {@link Collection} implementations
 *       have, of returning a new, independent iterator
 * </ul>
 *
 * <p>Because of this situation, any public method accepting an iterable should invoke the {@code
 * iterator} method only once, and should be tested using this class. Exceptions to this rule should
 * be clearly documented.
 *

    val attempt2 = attempt1.nextConnectionSpec(connectionSpecs, socket)
    assertThat(attempt2).isNull()
    socket.close()

    // sslV3 is not used because SSLv3 is not enabled on the socket.
  }

  private fun createSocketWithEnabledProtocols(vararg tlsVersions: TlsVersion): SSLSocket =
    (handshakeCertificates.sslSocketFactory().createSocket() as SSLSocket).apply {

from tensorflow.python.platform import flags  # pylint: disable=g-import-not-at-top
from tensorflow.python.platform import app  # pylint: disable=g-import-not-at-top
app.flags = flags

# These symbols appear because we import the python package which
# in turn imports from tensorflow.core and tensorflow.python. They
# must come from this module. So python adds these symbols for the
# resolution to succeed.

          return of();
        case 1:
          /*
           * requireNonNull is safe because we ensure that the first `distinct` elements have been
           * populated.
           */
          return of(requireNonNull(dedupedElements[0]));
        default:
          /*
           * The suppression is safe because we ensure that the first `distinct` elements have been
           * populated.
           */

          if (!initialized) {
            T t = delegate.get();
            value = t;
            initialized = true;
            return t;
          }
        }
      }
      // This is safe because we checked `initialized`.
      return uncheckedCastNullableTToT(value);
    }

    @Override
    public String toString() {
      return "Suppliers.memoize("

     * and then. This means that we're silently swallowing an exception -- maybe even an Error. But
     * this is no worse than what FutureTask does in that situation. Additionally, because the
     * Future was cancelled, its listeners have been run, so its consumers will not hang.
     *
     * Contrast this to the situation we have if setResult() throws, a situation described below.
     */

    if (isDone()) {
      return;
    }
    try {
      result = runInterruptibly();
    } catch (Throwable t) {
      error = t;
    }
    if (error == null) {
      // The cast is safe because of the `run` and `error` checks.
      afterRanInterruptiblySuccess(uncheckedCastNullableTToT(result));
    } else {
      afterRanInterruptiblyFailure(error);
    }
  }

  abstract boolean isDone();