// corresponding indices in the pass_ids vector.
        auto iter = pass_names.begin();
        while ((iter = std::find(iter, pass_names.end(), pass->name())) !=
               pass_names.end()) {
          pass_ids[std::distance(pass_names.begin(), iter)] = pass.get();
          iter++;
        }
      }
    }
  }
  return pass_ids;
}

				// for that package for more details.
				for siter.valid() && uintptr(siter.s.offset) < endOffset {
					// Find the exact byte for which the special was setup
					// (as opposed to object beginning).
					special := siter.s
					p := s.base() + uintptr(special.offset)
					if special.kind == _KindSpecialFinalizer || special.kind == _KindSpecialWeakHandle {
						siter.unlinkAndNext()

  module_op.walk([&py_function_library, &calibration_options, &status,
                  &statistics_map](mlir::TF::CustomAggregatorOp aggregator_op) {
    mlir::StringRef id = aggregator_op.getId();
    auto iter = statistics_map.find(id);
    if (iter == statistics_map.end()) {
      status = absl::InternalError(
          absl::StrFormat("Calibrated data does not exist. Cannot find "
                          "statistics. value for id: %s",

**FastAPI** hat eine großartige Community, die ständig wächst.

Es gibt viele Beiträge, Artikel, Tools und Projekte zum Thema **FastAPI**.

Hier ist eine unvollständige Liste einiger davon.

!!! tip "Tipp"

	"testing"
	"unsafe"
)

func runParallel(N, iter int, f func()) {
	defer runtime.GOMAXPROCS(runtime.GOMAXPROCS(int(N)))
	done := make(chan bool)
	for i := 0; i < N; i++ {
		go func() {
			for j := 0; j < iter; j++ {
				f()
			}
			done <- true
		}()
	}
	for i := 0; i < N; i++ {
		<-done
	}
}

func TestXadduintptr(t *testing.T) {
	N := 20
	iter := 100000
	if testing.Short() {
		N = 10

// function values via a struct field.
//
//go:noinline
func ExerciseFuncField(iter int, a1, a2 AddFunc, m1, m2 mult.MultFunc) int {
	ops := struct {
		a AddFunc
		m mult.MultFunc
	}{}

	val := 0
	for i := 0; i < iter; i++ {
		ops.a = a1
		ops.m = m1
		if i%10 == 0 {
			ops.a = a2
			ops.m = m2
		}

    * Standard-Python-`Decimal`.
    * In Requests und Responses wird es wie ein `float` behandelt.
* Sie können alle gültigen Pydantic-Datentypen hier überprüfen: <a href="https://docs.pydantic.dev/latest/usage/types/types/" class="external-link" target="_blank">Pydantic data types</a>.

## Beispiel

Hier ist ein Beispiel für eine *Pfadoperation* mit Parametern, die einige der oben genannten Typen verwenden.

=== "Python 3.10+"

                        : cast<FetchOp>(op).getFetchesMutable();
  // Add control inputs in program order of the defining ops.
  for (auto iter = preds_in_reverse_program_order.rbegin();
       iter != preds_in_reverse_program_order.rend();
       ++iter) {
    Operation* pred = *iter;
    if (auto pred_island = dyn_cast<mlir::tf_executor::IslandOp>(pred)) {
      mutable_control_inputs.append(pred_island.getControl());
    }
  }

<!-- see ../../3-iter.md -->...

        assertNotNull(set, "No artifacts");
        assertTrue(set.size() > 0, "No Artifacts");
        Iterator iter = set.iterator();
        assertTrue(set.size() == 4, "Set size should be 4, is " + set.size());

        while (iter.hasNext()) {
            Artifact artifact = (Artifact) iter.next();
            System.out.println("Artifact: " + artifact.getDependencyConflictId() + " " + artifact.getVersion()