int index = hash & (table.length() - 1);

    InternalEntry<Object, Object, ?> entry = segment.newEntryForTesting(key, hash, null);
    segment.setValueForTesting(entry, value);

    assertThat(segment.get(key, hash)).isNull();

    // count == 0
    segment.setTableEntryForTesting(index, entry);
    assertThat(segment.get(key, hash)).isNull();

    int index = hash & (table.length() - 1);

    InternalEntry<Object, Object, ?> entry = segment.newEntryForTesting(key, hash, null);
    segment.setValueForTesting(entry, value);

    assertThat(segment.get(key, hash)).isNull();

    // count == 0
    segment.setTableEntryForTesting(index, entry);
    assertThat(segment.get(key, hash)).isNull();

            int index1 = process.indexOf(')');
            int index2 = process.indexOf(']');

            int index = index2;
            if (index2 < 0 || index1 < index2) {
                if (index1 >= 0) {
                    index = index1;
                }
            }

            if (index < 0) {
                throw new InvalidVersionSpecificationException("Unbounded range: " + spec);
            }

import org.codelibs.fess.util.ComponentUtil;
import org.codelibs.fess.util.DocumentUtil;
import org.opensearch.index.query.QueryBuilder;
import org.opensearch.script.Script;

/**
 * Job class for updating label information in the search index.
 * This job processes documents and updates their label fields based on URL pattern matching.
 */
public class UpdateLabelJob {

    extends UnmodifiableListIterator<E> {
  private final int size;
  private int position;

  /** Returns the element with the specified index. This method is called by {@link #next()}. */
  @ParametricNullness
  protected abstract E get(int index);

  /**
   * Constructs an iterator across a sequence of the given size whose initial position is 0. That

package org.codelibs.opensearch.extension.analysis;

import org.apache.lucene.analysis.Tokenizer;
import org.opensearch.common.settings.Settings;
import org.opensearch.env.Environment;
import org.opensearch.index.IndexSettings;
import org.opensearch.index.analysis.AbstractTokenizerFactory;

/**
 * Factory for {@link NGramSynonymTokenizer}.
 */
public final class NGramSynonymTokenizerFactory extends AbstractTokenizerFactory {

        shareInfo502.sd_size = 2;
        shareInfo502.security_descriptor = new byte[] { 1, 2 };

        // Set up mocks for the security descriptor encoding
        mockDeferredBuffer.index = 0; // Set field directly
        mockDeferredBuffer.deferred = mockDeferredBuffer;

        shareInfo502.encode(mockNdrBuffer);

        // Verify the encode operations
        verify(mockNdrBuffer).align(4);

	<ol class="list-unstyled col-md-8">
		<c:forEach var="doc" varStatus="s" items="${documentItems}">
			<li id="result${s.index}">
				<h3 class="title text-truncate">
					<a class="link" href="${doc.url_link}" data-uri="${doc.url_link}"
						data-id="${doc.doc_id}" data-order="${s.index}">${doc.content_title}</a>
				</h3>
				<div class="body">
					<c:if test="${thumbnailSupport && !empty doc.thumbnail}">

Vous verrez la documentation interactive automatique de l'API (fournie par <a href="https://github.com/swagger-api/swagger-ui" class="external-link" target="_blank">Swagger UI</a>) :

![Swagger UI](https://fastapi.tiangolo.com/img/index/index-01-swagger-ui-simple.png)

## Documentation de l'API alternative

  if (ic->num_outputs() <= new_src.index) {
    status->status = tensorflow::errors::OutOfRange(
        "Cannot update edge. Output index [", new_src.index,
        "] is greater than the number of total outputs [", ic->num_outputs(),
        "].");
    return;
  }
  tensorflow::shape_inference::ShapeHandle shape = ic->output(new_src.index);

  tensorflow::shape_inference::InferenceContext* ic_dst =