import org.codelibs.fess.util.DocList;
import org.codelibs.fess.util.MemoryUtil;
import org.codelibs.fess.util.ThreadDumpUtil;
import org.opensearch.action.search.SearchRequestBuilder;
import org.opensearch.index.query.QueryBuilder;
import org.opensearch.index.query.QueryBuilders;
import org.opensearch.search.sort.SortOrder;

import jakarta.annotation.PostConstruct;
import jakarta.annotation.PreDestroy;
import jakarta.annotation.Resource;

import org.codehaus.plexus.interpolation.PrefixedValueSourceWrapper;
import org.codehaus.plexus.interpolation.RecursionInterceptor;
import org.codehaus.plexus.interpolation.ValueSource;

/**
 * Use a regular expression search to find and resolve expressions within the POM.
 *
 * @deprecated use {@link org.apache.maven.api.services.ModelBuilder} instead
 */
@Deprecated(since = "4.0.0")

   * i, i + target.length)} contains exactly the same elements as {@code target}.
   *
   * @param array the array to search for the sequence {@code target}
   * @param target the array to search for as a sub-sequence of {@code array}
   */
  public static int indexOf(byte[] array, byte[] target) {
    checkNotNull(array, "array");
    checkNotNull(target, "target");

import org.opensearch.action.bulk.BulkResponse;
import org.opensearch.action.index.IndexAction;
import org.opensearch.action.index.IndexRequestBuilder;
import org.opensearch.action.search.SearchAction;
import org.opensearch.action.search.SearchRequestBuilder;
import org.opensearch.index.query.QueryBuilder;
import org.opensearch.index.query.QueryBuilders;
import org.opensearch.index.query.TermQueryBuilder;

### Modelle für maschinelles Lernen mit spaCy und FastAPI – Funktionen

* **spaCy** NER-Modellintegration.
* **Azure Cognitive Search**-Anforderungsformat integriert.
* **Produktionsbereit** Python-Webserver, verwendet Uvicorn und Gunicorn.
* **Azure DevOps** Kubernetes (AKS) CI/CD-Deployment integriert.

* <a href="https://developers.liblab.com/tutorials/sdk-for-fastapi/?utm_source=fastapi" class="external-link" target="_blank">liblab</a>

There are also several other companies offering similar services that you can search and find online. 🤓

## Generate a TypeScript Frontend Client

Let's start with a simple FastAPI application:

//// tab | Python 3.9+

```Python hl_lines="7-9  12-13  16-17  21"

    /** The path of the HTML: /profile/index.jsp */
    HtmlNext path_Profile_IndexJsp = new HtmlNext("/profile/index.jsp");

    /** The path of the HTML: /search.jsp */
    HtmlNext path_SearchJsp = new HtmlNext("/search.jsp");

    /** The path of the HTML: /searchNoResult.jsp */
    HtmlNext path_SearchNoResultJsp = new HtmlNext("/searchNoResult.jsp");

    /** The path of the HTML: /searchOptions.jsp */

With respect to development inside an IDE the workspace from which we would like to resolve and retrieve dependencies is a read-only local repository to Mercury which is put at the front-end of the search order of any repository that Mercury will consult for artifacts.

h4. Generation of plugin metadata and packaging

        return ROLE;
    }

    // ===================================================================================
    //                                                                      Search Execute
    //                                                                      ==============

    @Execute
    @Secured({ ROLE, ROLE + VIEW })
    public HtmlResponse index() {
        return asIndexHtml();

    private int[] context = new int[4];

    /**
     * Number of bytes processed so far mod. 2 power of 64.
     */
    private long count;

    /**
     * 512 bits input buffer = 16 x 32-bit words holds until reaches 512 bits.
     */
    private byte[] buffer = new byte[BLOCK_LENGTH];

    /**
     * 512 bits work buffer = 16 x 32-bit words
     */
    private int[] X = new int[16];


// Constructors