if e := v.Index(a.iter.index); e.IsValid() {
			x = e.Interface().(ast.Node)
		}

		a.iter.step = 1
		a.apply(parent, name, &a.iter, x)
		a.iter.index += a.iter.step
	}
	a.iter = saved

        // 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;
}

	const N = 13 << 4 // 6.5 * 2 * 2^k
	for i := 0; i < N; i++ {
		m[math.NaN()] = i
	}
	// Trigger growth.
	m[math.NaN()] = N

	// Iterate through map.
	i := 0
	v := reflect.ValueOf(m)
	iter := v.MapRange()
	for iter.Next() {
		if i == 6 {
			// Partway through iteration, clear the map.
			v.Clear()
		} else if i > 6 {
			// If we advance to the next iteration, that's a bug.
			panic("BAD")
		}
		i++
	}

            len = name.length();
            if ( len > maxLen ) {
                maxLen = len;
            }

            iter = sorted.listIterator();
            for ( j = 0; iter.hasNext(); j++ ) {
                if ( sort == 0 ) {
                    if ( compareNames(dirents[ i ], name, iter.next()) < 0 ) {
                        break;
                    }
                }
                else if ( sort == 1 ) {

				// 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"

# RUN: tf-mlir-translate -graphdef-to-mlir -tf-enable-shape-inference-on-import=false %s -tf-input-arrays=iter,val -tf-input-data-types=DT_INT32,DT_FLOAT -tf-input-shapes=':' -tf-output-arrays=StatefulWhile:1,StatelessWhile:1,WhileWithOutputShapes:1 -o - -mlir-print-debuginfo -mlir-print-local-scope | FileCheck %s

# Verify that TensorFlow While and StatelessWhile ops are mapped to the
# composite While op in MLIR with is_stateless attribute set accordingly to

	"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
		}