podCount := podCountByRevision(allPods[resource.Namespace(namespace.Name)], revision)
		if len(podCount) == 0 {
			// This namespace has no pods, but we wish to display it if new pods will be auto-injected
			if revision != "" {
				podCount[revision] = revisionCount{}
			}
		}
		for injectedRevision, count := range podCount {
			if outputCount == 0 {

        if (rawType.isAssignableFrom(String.class)) {
            return text; // compatible type => no conversion needed
        }

        // use temporary Key as quick way to auto-box primitive types into their equivalent object types
        final TypeLiteral<?> boxedType =
                rawType.isPrimitive() ? Key.get(rawType).getTypeLiteral() : toType;

		}
	}
}

func (t *apiConfig) getReplicationOpts() replicationPoolOpts {
	t.mu.RLock()
	defer t.mu.RUnlock()

	if t.replicationPriority == "" {
		return replicationPoolOpts{
			Priority:    "auto",
			MaxWorkers:  WorkerMaxLimit,
			MaxLWorkers: LargeWorkerCount,
		}
	}

	return replicationPoolOpts{
		Priority:    t.replicationPriority,
		MaxWorkers:  t.replicationMaxWorkers,

  // rejected by a future step in the admission chain and the side effects therefore need to be undone.
  // Requests with the dryRun attribute will be auto-rejected if they match a webhook with
  // sideEffects == Unknown or Some.
  optional string sideEffects = 6;

  // TimeoutSeconds specifies the timeout for this webhook. After the timeout passes,

   * {@link #ignoreClasses} to exclude generated classes, such as the {@code AutoValue_Foo} classes
   * generated by <a href="https://github.com/google/auto/tree/master/value">AutoValue</a>.
   *
   * @since 19.0
   */
  public static final Predicate<Class<?>> UNDERSCORE_IN_NAME =
      (Class<?> c) -> c.getSimpleName().contains("_");

    * Because pydantic data structures are just instances of classes you define; auto-completion, linting, mypy and your intuition should all work properly with your validated data.
* Validate **complex structures**:
    * Use of hierarchical Pydantic models, Python `typing`’s `List` and `Dict`, etc.

///

## Récapitulatif

Avec **FastAPI**, en utilisant les déclarations de type rapides, intuitives et standards de Python, vous bénéficiez de :

* Support de l'éditeur : vérification d'erreurs, auto-complétion, etc.
* <abbr title="conversion de la chaîne de caractères venant de la requête HTTP en données Python">"Parsing"</abbr> de données.
* Validation de données.
* Annotations d'API et documentation automatique.

    }

    protected MatchQueryBuilder regFuzzyQ(String name, Object value) {
        checkEsInvalidQuery(name, value);
        MatchQueryBuilder fuzzyQuery = QueryBuilders.matchQuery(name, value).fuzziness(Fuzziness.AUTO);
        regQ(fuzzyQuery);
        return fuzzyQuery;
    }

    protected PrefixQueryBuilder regPrefixQ(String name, String prefix) {
        checkEsInvalidQuery(name, prefix);

    sponsors_data_path = en_docs_path / "data" / "sponsors.yml"
    sponsors = mkdocs.utils.yaml_load(sponsors_data_path.read_text(encoding="utf-8"))
    if not (match_start and match_end):
        raise RuntimeError("Couldn't auto-generate sponsors section")
    if not match_pre:
        raise RuntimeError("Couldn't find pre section (<style>) in index.md")
    frontmatter_end = match_pre.end()
    pre_end = match_start.end()

  }
  TF_DataType datatype_enum(
      static_cast<TF_DataType>(DataTypeToEnum<DataType>().value));
  for (int device_index = 0; device_index < num_underlying_devices();
       ++device_index) {
    auto device_value = absl::make_unique<DataType>();
    *device_value = values[device_index];
    std::unique_ptr<TF_Tensor, decltype(&TF_DeleteTensor)> tensor(
        TF_NewTensor(