}
			generations := []string{firstVersion}
			targetResource := config.Key(
				targetSchema.Group(), targetSchema.Version(), targetSchema.Kind(),
				nameflag, namespace)
			for {
				// run the check here as soon as we start
				// because tickers won't run immediately
				present, notpresent, sdcnum, err := poll(cliCtx, cmd, generations, targetResource, proxyFlag, opts)

    if (strategy == ResumePriority.AfterOtherTasks && otherTasksStarted) {
      return yieldUntil(strategy, condition)
    }
  }

  private enum class ResumePriority {
    /** Resumes as soon as the condition is satisfied. */
    BeforeOtherTasks,

    /** Resumes after the already-enqueued tasks. */
    AfterEnqueuedTasks,

    routePlanner.autoGeneratePlans = true
    routePlanner.defaultConnectionIdleAtNanos = expireTime
    val address = routePlanner.address
    val pool = routePlanner.pool

    // Connections are created as soon as a policy is set
    setPolicy(pool, address, ConnectionPool.AddressPolicy(2))
    assertThat(pool.connectionCount()).isEqualTo(2)

    // Connections are replaced if they idle out or are evicted from the pool

    // (c) Occupying the monitor and awaiting the tearDownLatch.
    //
    // Except for (c), every thread should occupy the monitor very briefly, and every thread leaves
    // the monitor with the guard satisfied. Therefore as soon as tearDownLatch is triggered, we
    // should be able to enter the monitor, and then we set the guard to satisfied for the benefit
    // of any remaining waiting threads.

    tearDownLatch.countDown();
    assertTrue(

does not cure such failure in a reasonable period of time after becoming aware
of such noncompliance. If all Recipient's rights under this Agreement terminate,
Recipient agrees to cease use and distribution of the Program as soon as reasonably
practicable. However, Recipient's obligations under this Agreement and any
licenses granted by Recipient relating to the Program shall continue and survive.

# API IMPORTS PLACEHOLDER

# WRAPPER_PLACEHOLDER

if "dev" in __version__:   # pylint: disable=undefined-variable
  _logging.warning("""

  TensorFlow's `tf-nightly` package will soon be updated to TensorFlow 2.0.

  Please upgrade your code to TensorFlow 2.0:
    * https://www.tensorflow.org/guide/migrate

  Or install the latest stable TensorFlow 1.X release:
    * `pip install -U "tensorflow==1.*"`

 *       Future} returned by this class, the next task may still have to wait.</i>.
 *   <li>Once an {@code AsyncCallable} returns a {@code Future}, this class considers that task to
 *       be "done" as soon as <i>that</i> {@code Future} completes in any way. Notably, a {@code
 *       Future} is "completed" even if it is cancelled while its underlying work continues on a

     *
     * <p>Prefer the equivalent method {@link #buildOrThrow()} to make it explicit that the method
     * will throw an exception if there are duplicate keys or values. The {@code build()} method
     * will soon be deprecated.
     *
     * @throws IllegalArgumentException if duplicate keys or values were added
     */
    @Override
    public ImmutableBiMap<K, V> build() {
      return buildOrThrow();
    }

    *, route: routing.APIRoute, method: str
) -> str:  # pragma: nocover
    warnings.warn(
        "fastapi.openapi.utils.generate_operation_id() was deprecated, "
        "it is not used internally, and will be removed soon",
        DeprecationWarning,
        stacklevel=2,
    )
    if route.operation_id:
        return route.operation_id
    path: str = route.path_format

// destructor. However, waiting until the destructor runs loses the memory
// efficiency of forward-mode autodiff. Instead, language bindings should call
// DeleteGradient as soon as a Tensor which was `Watch`ed or was an output
// Tensor passed to Accumulate goes out of scope.
//
// Not thread-safe.
template <typename Gradient, typename BackwardFunction, typename TapeTensor>