// waiter has good chances of losing. In such case it is queued at front
	// of the wait queue. If a waiter fails to acquire the mutex for more than 1ms,
	// it switches mutex to the starvation mode.
	//
	// In starvation mode ownership of the mutex is directly handed off from
	// the unlocking goroutine to the waiter at the front of the queue.
	// New arriving goroutines don't try to acquire the mutex even if it appears

func (c DelegatingAuthenticatorConfig) New() (authenticator.Request, *spec.SecurityDefinitions, error) {
	authenticators := []authenticator.Request{}
	securityDefinitions := spec.SecurityDefinitions{}

	// front-proxy first, then remote
	// Add the front proxy authenticator if requested
	if c.RequestHeaderConfig != nil {
		requestHeaderAuthenticator := headerrequest.NewDynamicVerifyOptionsSecure(
			c.RequestHeaderConfig.CAContentProvider.VerifyOptions,

	return l.getFirst(true)
}

func (l *requestFIFO) Peek() (*request, bool) {
	return l.getFirst(false)
}

func (l *requestFIFO) getFirst(remove bool) (*request, bool) {
	e := l.Front()
	if e == nil {
		return nil, false
	}

	if remove {
		defer func() {
			l.Remove(e)
			e.Value = nil
		}()
	}

	request, ok := e.Value.(*request)
	if remove && ok {

    func::FuncOp func,
    const TF::SideEffectAnalysis::Info& side_effect_analysis) {
  auto graph_op_range = func.front().without_terminator();
  tf_executor::GraphOp graph_op;

  if (llvm::hasSingleElement(graph_op_range))
    graph_op = dyn_cast<tf_executor::GraphOp>(func.front().front());

  if (!graph_op) {
    func.emitError("expected function to contain only a graph_op");
    signalPassFailure();

		req.Header.Del("Authorization")

		// delete standard front proxy headers
		headerrequest.ClearAuthenticationHeaders(
			req.Header,
			standardRequestHeaderConfig.UsernameHeaders,
			standardRequestHeaderConfig.GroupHeaders,
			standardRequestHeaderConfig.ExtraHeaderPrefixes,
		)

		// also delete any custom front proxy headers
		if requestHeaderConfig != nil {
			headerrequest.ClearAuthenticationHeaders(

  tensorflow::tpu::TPUCompileMetadataProto metadata;
  metadata.ParseFromString(compile.getMetadata().str());
  llvm::SmallVector<llvm::SmallVector<int64_t, 4>, 4> input_mappings =
      tensorflow::GetMetadataArgumentMapping(metadata);

  bool metadata_updated = false;
  auto maybe_replicate =
      execute_launches.front()->getParentOfType<tf_device::ReplicateOp>();

// RUN: tf-opt %s -allow-unregistered-dialect --tf-move-tpu-compile-to-front --split-input-file | FileCheck %s

module {

// CHECK-LABEL: does_basic_reordering
func.func @does_basic_reordering() -> () {
   // CHECK: _TPUCompileMlir
   // CHECK-SAME: X
   // CHECK: _TPUCompileMlir
   // CHECK-SAME: Y
   // CHECK: OpA
   // CHECK: OpB
   // CHECK: OpC
   "tf.OpA"() : () -> ()

    Si vous débutez avec **FastAPI**, vous n'en aurez peut-être pas besoin.

Vous pouvez déclarer des réponses supplémentaires, avec des codes HTTP, des types de médias, des descriptions, etc.

Ces réponses supplémentaires seront incluses dans le schéma OpenAPI, elles apparaîtront donc également dans la documentation de l'API.

      if (accum_dynamic_dim == nullptr) {
        accum_dynamic_dim = sliced_shape_op->getResults().front();
      } else {
        accum_dynamic_dim =
            builder.create<TF::MulOp>(loc, accum_dynamic_dim, sliced_shape_op)
                ->getResults()
                .front();
      }
    }
  }

  const int32_t zp_constant_offset = static_cast<int32_t>(input_zp) *

// Updates function return type of the given functions to match the terminator
// op operands' types.
//
// Requires the function has exactly one block.
void UpdateFuncType(func::FuncOp func) {
  Operation* terminator = func.front().getTerminator();
  auto return_types = llvm::to_vector<4>(terminator->getOperandTypes());

  FunctionType func_type = func.getFunctionType();
  if (llvm::ArrayRef(return_types) == func_type.getResults()) return;