func explodeSeq(s []byte) iter.Seq[[]byte] {
	return func(yield func([]byte) bool) {
		for len(s) > 0 {
			_, size := utf8.DecodeRune(s)
			if !yield(s[:size:size]) {
				return
			}
			s = s[size:]
		}
	}
}

// splitSeq is SplitSeq or SplitAfterSeq, configured by how many
// bytes of sep to include in the results (none or all).
func splitSeq(s, sep []byte, sepSave int) iter.Seq[[]byte] {
	if len(sep) == 0 {

  }
  return new TFE_TensorDebugInfo(dev_dims);
}

TF_CAPI_EXPORT extern void TFE_DeleteTensorDebugInfo(
    TFE_TensorDebugInfo* debug_info) {
  delete debug_info;
}

TF_CAPI_EXPORT extern int TFE_TensorDebugInfoOnDeviceNumDims(
    TFE_TensorDebugInfo* debug_info) {
  return debug_info->dev_dims.size();
}

TF_CAPI_EXPORT extern int64_t TFE_TensorDebugInfoOnDeviceDim(

TF_CAPI_EXPORT extern TFE_MonitoringCounterReader*
TFE_MonitoringNewCounterReader(const char* name);

// Reads the value of a counter that was created with 0 labels.
TF_CAPI_EXPORT extern int64_t TFE_MonitoringReadCounter0(
    TFE_MonitoringCounterReader*);

// Reads the value of specific cell of a counter that was created with 1 label.
TF_CAPI_EXPORT extern int64_t TFE_MonitoringReadCounter1(

 #  define __hidden_nolink1(local, internal, name, version) \
   __hidden_nolink2 (local, internal, name, version)
 #  define __hidden_nolink2(local, internal, name, version) \
-  extern __typeof (name) internal __attribute__ ((alias (#local))); \
+  extern __typeof (name) internal __attribute__ ((alias (#local)))	\
+    __attribute_copy__ (name);						\
   __hidden_nolink3 (local, internal, #name "@" #version)

func mustGetLocalIPs() (ipList []net.IP) {
	ifs, err := net.Interfaces()
	logger.FatalIf(err, "Unable to get IP addresses of this host")

	for _, interf := range ifs {
		addrs, err := interf.Addrs()
		if err != nil {
			continue
		}
		if runtime.GOOS == "windows" && interf.Flags&net.FlagUp == 0 {
			continue
		}

		for _, addr := range addrs {
			var ip net.IP
			switch v := addr.(type) {
			case *net.IPNet:

// void* for further PyCapsule construction.
TF_CAPI_EXPORT extern void* TFE_HandleToDLPack(TFE_TensorHandle* h,
                                               TF_Status* status);

// Converts DLPack (DLManagedTensor*) to eager tensor handle.
TF_CAPI_EXPORT extern TFE_TensorHandle* TFE_HandleFromDLPack(void* dlm,
                                                             TF_Status* status,

import org.apache.maven.execution.MavenSession;
import org.apache.maven.execution.ProjectDependencyGraph;
import org.apache.maven.model.building.Result;

/**
 * Builds the {@link ProjectDependencyGraph inter-dependencies graph} between projects in the reactor.
 *
 * @since 3.0-alpha
 */
public interface GraphBuilder {
    String HINT = "graphBuilder";

      {reinterpret_cast<tensorflow::AbstractTensorHandle**>(
           tensorflow::unwrap(inputs)),
       static_cast<size_t>(num_inputs)});
}

extern int TFE_OpGetFlatInputCount(const TFE_Op* op, TF_Status* status) {
  return tensorflow::unwrap(op)->GetInputs().size();
}

extern TFE_TensorHandle* TFE_OpGetFlatInput(const TFE_Op* op, int index,
                                            TF_Status* status) {

## Das Theme ändern

Auf die gleiche Weise könnten Sie das Theme der Syntaxhervorhebung mit dem Schlüssel `syntaxHighlight.theme` festlegen (beachten Sie, dass er einen Punkt in der Mitte hat):

```Python hl_lines="3"
{!../../docs_src/configure_swagger_ui/tutorial002.py!}
```

Obige Konfiguration würde das Theme für die Farbe der Syntaxhervorhebung ändern:

    Se você precisar de uma atualização sobre quando usar qual, confira a seção _"Com pressa?"_ na documentação sobre [`async` e `await`](../async.md#in-a-hurry){.internal-link target=_blank}.

9. Esta *função de operação de rota* não está retornando dataclasses (embora pudesse), mas uma lista de dicionários com dados internos.

    O FastAPI usará o parâmetro `response_model` (que inclui dataclasses) para converter a resposta.