You could then update `test_main.py` with the extended tests:

{* ../../docs_src/app_testing/app_b/test_main.py *}


Whenever you need the client to pass information in the request and you don't know how to, you can search (Google) how to do it in `httpx`, or even how to do it with `requests`, as HTTPX's design is based on Requests' design.

Then you just do the same in your tests.

E.g.:

* However, when a Markdown document is translated, the `#hash-parts` in links to its headings may change. Update these links if possible.
    * Search for such links in the translated document using the regex `#[^# ]`.
    * Search in all documents already translated into your language for `your-translated-document.md`. For example VS Code has an option "Edit" -> "Find in Files".

        }
    }

    /**
     * Extracts the token value from the content using the given pattern.
     * @param tokenPattern The regex pattern.
     * @param content The content to search.
     * @return The extracted token value.
     */
    protected String getTokenValue(final String tokenPattern, final String content) {
        final Matcher matcher = Pattern.compile(tokenPattern).matcher(content);

      labelIndex: Int,
    ): String? {
      var low = 0
      var high = size
      var match: String? = null
      while (low < high) {
        var mid = (low + high) / 2
        // Search for a '\n' that marks the start of a value. Don't go back past the start of the
        // array.
        while (mid > -1 && this[mid] != '\n'.code.toByte()) {
          mid--
        }
        mid++

        // assertEquals(0, result.size()); // Commented out due to variable scope
    }

    public void test_buildQuery_withVariousKeywords() {
        List<String> keywordList = Arrays.asList("java", "programming", "search", "");
        List<FilterFunctionBuilder> functionBuilders = new ArrayList<>();

        try {
            keyMatchHelper.buildQuery(keywordList, functionBuilders);
        } catch (Exception e) {

## Modèles d'apprentissage automatique avec spaCy et FastAPI - Fonctionnalités

* Intégration d'un modèle NER **spaCy**.
* Formatage de requête pour **Azure Cognitive Search**.
* Serveur Python web **prêt à utiliser en production** utilisant Uvicorn et Gunicorn.
* Déploiement CI/CD Kubernetes pour **Azure DevOps** (AKS).

    private CharMappingService charMappingService;

    /**
     * Retrieve list of character mapping entries for the specified dictionary.
     *
     * @param dictId identifier of the dictionary
     * @param body search criteria and paging parameters
     * @return JSON response containing list of mapping entries
     */
    // GET /api/admin/dict/mapping/settings/{dictId}
    @Execute

import io.restassured.response.Response;

public class CrawlTestBase extends ITBase {
    private static final Logger logger = LogManager.getLogger(CrawlTestBase.class);

    private static final String DOC_INDEX_NAME = "fess.search";

    protected static void createJob(final Map<String, Object> requestBody) {
        checkMethodBase(requestBody).post("/api/admin/scheduler/setting")
                .then()

   * with the corresponding value in the table. Changes to the returned map will update the
   * underlying table, and vice versa.
   *
   * @param columnKey key of column to search for in the table
   * @return the corresponding map from row keys to values
   */
  @Override
  public Map<R, @Nullable V> column(C columnKey) {
    checkNotNull(columnKey);

 * Google search:
 *
 * ```java
 * HttpUrl url = new HttpUrl.Builder()
 *     .scheme("https")
 *     .host("www.google.com")
 *     .addPathSegment("search")
 *     .addQueryParameter("q", "polar bears")
 *     .build();
 * System.out.println(url);
 * ```
 *
 * which prints:
 *
 * ```
 * https://www.google.com/search?q=polar%20bears
 * ```
 *