os.Exit(1)
	}
	for _, input := range inputs {
		processFile(input, privateKeys)
	}
}

func processFile(inputFileName string, privateKeys [][]byte) {
	// Calculate the output file name
	var outputFileName string
	switch {
	case strings.HasSuffix(inputFileName, ".enc"):
		outputFileName = strings.TrimSuffix(inputFileName, ".enc") + ".zip"
	case strings.HasSuffix(inputFileName, ".zip"):

// This allows the client to swap the implementation of the tracing engine.
// Any future call to TF_CreateFunction will use the implementation defined
// here.
void TF_SetTracingImplementation(const char* name, TF_Status*);

// Creates a new TensorFlow function. A Function is an execution context, and as
// such it can trace operations through TF_ExecuteOperation. After completing

    return url;
  }

  /**
   * Given a {@code resourceName} that is relative to {@code contextClass}, returns a {@code URL}
   * pointing to the named resource.
   *
   * @throws IllegalArgumentException if the resource is not found
   */
  @CanIgnoreReturnValue // being used to check if a resource exists

        "builtIn": 1,
        "datasource": {
          "type": "datasource",
          "uid": "grafana"
        },
        "enable": true,
        "hide": true,
        "iconColor": "rgba(0, 211, 255, 1)",
        "name": "Annotations & Alerts",
        "type": "dashboard"
      }
    ]
  },
  "description": "MinIO Grafana Dashboard - https://min.io/",
  "editable": true,
  "fiscalYearStartMonth": 0,
  "gnetId": 15306,

    // flags is NOT the same as flags member

    /**
     * Constructs an Open AndX request.
     *
     * @param config the configuration
     * @param fileName the name of the file to open
     * @param access the desired access mode
     * @param shareAccess the share access mode
     * @param flags the open flags
     * @param fileAttributes the file attributes

        vector.add(new DERTaggedObject(2, new DERGeneralString("TEST.REALM")));

        ASN1EncodableVector principalVector = new ASN1EncodableVector();
        principalVector.add(new DERTaggedObject(0, new ASN1Integer(1))); // name-type
        ASN1EncodableVector nameVector = new ASN1EncodableVector();
        nameVector.add(new DERGeneralString("testuser"));
        principalVector.add(new DERTaggedObject(1, new DERSequence(nameVector)));

### Modèle de sortie dans les documents { #model-for-output-in-docs }

Vous pouvez également vérifier le modèle de sortie dans les documents, **à la fois** `name` et `description` sont marqués comme **requis** avec un **astérisque rouge** :

<div class="screenshot">
<img src="/img/tutorial/separate-openapi-schemas/image03.png">
</div>

            try {
                final boolean isTimeout = !latch.await(time, unit);
                if (isTimeout) {
                    throw new SuggesterException("Request timeout. time:" + time + " unit:" + unit.name());
                }
                if (error != null) {
                    throw new SuggesterException("An error occurred during the deferred computation.", error);
                }
                return response;

        } catch (final IOException e) {
            throw new SuggesterException("Failed to create queryString.", e);
        }
    }

    /**
     * Builds a filter query.
     * @param fieldName The field name.
     * @param words The words to filter by.
     * @return The QueryBuilder instance.
     */
    public QueryBuilder buildFilterQuery(final String fieldName, final List<String> words) {

   * expression {@code o -> Optional.toJavaUtil(o)} instead.
   *
   * @since 21.0 (but only since 33.4.0 in the Android flavor)
   */
  @SuppressWarnings({
    "AmbiguousMethodReference", // We chose the name despite knowing this risk.
    "NullableOptional", // Null passthrough is reasonable for type conversions
  })
  public static <T> java.util.@Nullable Optional<T> toJavaUtil(
      @Nullable Optional<T> googleOptional) {