// 'retvals' must point to a pre-allocated array of TFE_TensorHandle* and
// '*num_retvals' should be set to the size of this array. It is an error if
// the size of 'retvals' is less than the number of outputs. This call sets
// *num_retvals to the number of outputs.
//
// If async execution is enabled, the call may simply enqueue the execution
// and return "non-ready" handles in `retvals`. Note that any handles contained

    }

    /**
     * Marks statistics tracking as complete for the specified crawler object.
     * Decrements the reference count and if it reaches zero, removes the
     * statistics object from cache and outputs the final statistics.
     *
     * @param keyObj the crawler object to complete tracking for
     */
    public void done(final Object keyObj) {
        getCacheKey(keyObj).ifPresent(key -> {
            try {

  TF_Operation* neg = Neg(feed, func_graph.get(), s.get());

  TF_Output inputs[] = {{feed, 0}};
  TF_Output outputs[] = {{neg, 0}};
  *func = TF_GraphToFunction(func_graph.get(), name, append_hash, -1,
                             /*opers=*/nullptr, 1, inputs, 1, outputs,
                             /*output_names=*/nullptr,
                             /*opts=*/nullptr, description, s.get());

	if t == nil || t.Publisher.NumSubscribers(t.TraceType) == 0 {
		return c.roundtrip(h, req)
	}

	// Following trimming is needed for consistency between outputs with other internode traces.
	local := strings.TrimPrefix(strings.TrimPrefix(t.Local, httpsScheme), httpScheme)
	remote := strings.TrimPrefix(strings.TrimPrefix(t.Remote, httpsScheme), httpScheme)

	start := time.Now()

        File checkstyleConf = new File(checkstyleDir, "checkstyle.xml");
        TaskProvider<Task> copyCheckstyleConf = project.getTasks().register("copyCheckstyleConf");

        // configure inputs and outputs so up to date works properly
        copyCheckstyleConf.configure(t -> t.getOutputs().files(checkstyleSuppressions, checkstyleConf));
        if ("jar".equals(checkstyleConfUrl.getProtocol())) {
            try {

 * </ul>
 *
 * <h2>Usage Example</h2>
 *
 * <pre>
 * {@code
 * Session session = ... // Obtain a Maven session
 * Packaging packaging = session.requirePackaging("jar");
 * System.out.println(packaging.getId()); // Outputs "jar"
 * }
 * </pre>
 *
 * @see org.apache.maven.api.Session#requirePackaging(String)
 * @see org.apache.maven.api.Project#getPackaging()
 * @see org.apache.maven.api.model.Model#getPackaging()
 * @since 4.0.0
 */

        BundleTaskExtension.NAME,
        BundleTaskExtension::class.java,
        this,
      )
    val osgiApiArtifacts = osgiApi.artifacts
    val jvmMainClasses = tasks.named("jvmMainClasses").map { it.outputs.files }
    bundleExtension.apply {
      classpath(osgiApiArtifacts)
      classpath(jvmMainClasses)
      properties.empty()
      bnd(*bndProperties)
    }

 * governing permissions and limitations under the License.
 */
package org.codelibs.fess.job;

import java.util.Collection;
import java.util.Map;
import java.util.Set;

/**
 * Formatter that outputs index documents as JSON files.
 */
public class JsonIndexExportFormatter implements IndexExportFormatter {

    /**
     * Creates a new JsonIndexExportFormatter instance.
     */

    std::vector<TFE_TensorHandle*> outputs(*num_retvals);
    TF_Status status;
    device_.execute(tensorflow::wrap(op), num_retvals, outputs.data(), &status,
                    info_);
    if (status.status.ok()) {
      for (int i = 0; i < *num_retvals; ++i) {
        retvals[i] = tensorflow::unwrap(outputs[i]);
        retvals[i]->Ref();
        TFE_DeleteTensorHandle(outputs[i]);
      }
    }

                                                    <td>${f:h(data.inputs)}</td>
                                                    <td>${f:h(data.outputs)}</td>
                                                </tr>
                                            </c:forEach>
                                            </tbody>
                                        </table>