// Default to the empty LabelSelector, which matches everything.
  // +optional
  optional k8s.io.apimachinery.pkg.apis.meta.v1.LabelSelector objectSelector = 11;

  // SideEffects states whether this webhook has side effects.
  // Acceptable values are: None, NoneOnDryRun (webhooks created via v1beta1 may also specify Some or Unknown).

        state.notInState(State.Finished, modelController::getConfiguredModel);
    }

    @Override
    public <T> T withProjectsConfigured(Function<? super GradleInternal, T> action) {
        return state.notInState(State.Finished, () -> action.apply(modelController.getConfiguredModel()));
    }

    @Override
    public void resetModel() {
        state.restart(State.ReadyToReset, State.Configure, () -> {

// with the actual state of the world by triggering attach, detach, mount, and
// unmount operations.
// Note: This is distinct from the Reconciler implemented by the attach/detach
// controller. This reconciles state for the kubelet volume manager. That
// reconciles state for the attach/detach controller.
type Reconciler interface {

			if client == nil {
				return errPeerNotReachable
			}
			st, err := client.BackgroundHealStatus(ctx)
			if err != nil {
				return err
			}
			states[idx] = st
			return nil
		}, idx, *client.host)
	}

	return states, ng.Wait()
}

// StartProfiling - start profiling on remote peers, by initiating a remote RPC.
func (sys *NotificationSys) StartProfiling(profiler string) []NotificationPeerErr {

// goroutines respectively. The semaphore can be in the following states:
//
//	pdReady - io readiness notification is pending;
//	          a goroutine consumes the notification by changing the state to pdNil.
//	pdWait - a goroutine prepares to park on the semaphore, but not yet parked;
//	         the goroutine commits to park by changing the state to G pointer,

  if (h == nullptr) {
    status->status = tensorflow::errors::InvalidArgument("Invalid handle");
    return -1;
  }
  return tensorflow::unwrap(h)->DeviceId(&status->status);
}

TF_CAPI_EXPORT extern void TFE_TensorHandleGetStatus(TFE_TensorHandle* h,
                                                     TF_Status* status) {
  status->status = tensorflow::unwrap(h)->TensorHandleStatus();
}

func assertStateEqual(t *testing.T, restoredState, expectedState ClaimInfoStateList) {
	assert.Equal(t, expectedState, restoredState, "expected ClaimInfoState does not equal to restored one")
}

// TODO (https://github.com/kubernetes/kubernetes/issues/123552): reconsider what data gets stored in checkpoints and whether that is really necessary.
//

!!! check
    So, with the same Python type declaration, **FastAPI** gives you data validation.

    Notice that the error also clearly states exactly the point where the validation didn't pass.

    This is incredibly helpful while developing and debugging code that interacts with your API.

## Documentation

	for i, meta := range partsMetadata {
		if fi.XLV1 == meta.XLV1 {
			continue
		}
		onlineDisks[i] = nil
	}
}

// Notes:
// There are 5 possible states a disk could be in,
// 1. __online__             - has the latest copy of xl.meta - returned by listOnlineDisks
//
// 2. __offline__            - err == errDiskNotFound
//

		b.current = body
		b.targets = &targets{
			tail:   b.targets,
			_break: done,
		}
		switch comm := clause.Comm.(type) {
		case *ast.ExprStmt: // <-ch
			// nop
		case *ast.AssignStmt: // x := <-states[state].Chan
			b.add(comm.Lhs[0])
		}
		b.stmtList(clause.Body)
		b.targets = b.targets.tail
		b.jump(done)
		b.current = next
	}
	if defaultBody != nil {
		b.targets = &targets{