Name:     mwc.Name,
			Revision: rev,
			Injected: injected,
			Reason:   reason,
		})
	}
	sort.Slice(results, func(i, j int) bool {
		return results[i].Name < results[j].Name
	})
	return results
}

func analyzeWebhooksMatchStatus(whs []admitv1.MutatingWebhook, podLabels, nsLabels map[string]string) (reason string, injected bool) {
	for _, wh := range whs {

from fastapi._compat import PYDANTIC_V2

needs_py39 = pytest.mark.skipif(sys.version_info < (3, 9), reason="requires python3.9+")
needs_py310 = pytest.mark.skipif(
    sys.version_info < (3, 10), reason="requires python3.10+"
)
needs_pydanticv2 = pytest.mark.skipif(not PYDANTIC_V2, reason="requires Pydantic v2")

 *
 * <pre>{@code
 * public enum PersonFunnel implements Funnel<Person> {
 *   INSTANCE;
 *   public void funnel(Person person, PrimitiveSink into) {
 *     into.putUnencodedChars(person.getFirstName())
 *         .putUnencodedChars(person.getLastName())
 *         .putInt(person.getAge());
 *   }
 * }
 * }</pre>
 *
 * @author Dimitris Andreou
 * @since 11.0
 */
@Beta

        // ## Arrange ##
        Locale.setDefault(Locale.JAPANESE);
        final SQLException sqlException = new SQLException("some reason", "fooState", 7650);
        final SQLException sqlException2 = new SQLException("hoge reason", "barState", 7660);
        final SQLException sqlException3 = new SQLException("fuga reason", "bazState", 7670);
        sqlException.setNextException(sqlException2);
        sqlException2.setNextException(sqlException3);

          webSocket: WebSocket,
          text: String,
        ) {
          webSocket.send(text)
        }

        override fun onClosing(
          webSocket: WebSocket,
          code: Int,
          reason: String,
        ) {
          webSocket.close(1000, null)
          latch.countDown()
        }

        override fun onFailure(
          webSocket: WebSocket,
          t: Throwable,

  ASSERT_EQ(outputs->size(), 1);
  ParallelTensor* parallel_result = (*outputs)[0].get();
  ExpectScalarEq<float>(parallel_result->tensor(0), 3.);
  ExpectScalarEq<float>(parallel_result->tensor(1), 3.);

  run_collective = parallel_device.ScalarsFromSequence<bool>(
      {true, false}, context.get(), status.get());
  parallel_device.Execute(context.get(),

// TODO(srbs): Figure out if we can avoid declaring this in the public header.
// Wrapper for a tensor output of an operation executing under a tape.
//
// `GetID` returns a unique id for the wrapped tensor which is used to maintain
// a map (`tensorflow::eager::TensorTape`) from the wrapped tensor to the id of
// the op that produced it (or -1 if this tensor was watched using
// `GradientTape::Watch`.) The op_id is simply a unique index assigned to each

          operations-per-run: 1000
          days-before-issue-stale: 7
          days-before-issue-close: 7
          stale-issue-label: "stale"
          # reason for closed the issue default value is not_planned
          close-issue-reason: completed
          # List of labels to remove when issues/PRs unstale. 
          labels-to-remove-when-unstale: 'stat:awaiting response'
          only-labels: "stat:awaiting response"

  // tensor are combined into a single entry.
  const TensorSliceReader::VarToShapeMap& GetVariableToShapeMap() const;

  // Returns a map from variable names to their data types.  Slices of a
  // partitioned tensor are combined into a single entry.
  const TensorSliceReader::VarToDataTypeMap& GetVariableToDataTypeMap() const;

  // Attempts to look up the tensor named "name" and stores the found result in

			InitContainerStatus: &corev1.ContainerStatus{
				Name: constants.ValidationContainerName,
				State: corev1.ContainerState{
					Waiting: &corev1.ContainerStateWaiting{
						Reason:  "CrashLoopBackOff",
						Message: "Back-off 5m0s restarting failed blah blah blah",
					},
				},
				LastTerminationState: corev1.ContainerState{
					Terminated: &corev1.ContainerStateTerminated{