* to you under the Apache License, Version 2.0 (the
 * "License"); you may not use this file except in compliance
 * with the License.  You may obtain a copy of the License at
 *
 *   http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing,
 * software distributed under the License is distributed on an
 * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY

    /** Array of fields to be included in standard search response */
    protected String[] responseFields;

    /** Array of fields to be included in scroll search response */
    protected String[] scrollResponseFields;

    /** Array of fields to be included in cache search response */
    protected String[] cacheResponseFields;

    /** Array of fields that can be highlighted in search results */

                scenario("Exclude the project we are resuming from (as proposed in MNG-6676)")
                        .resumeFrom(MODULE_B)
                        .inactiveRequiredProjects(MODULE_B)
                        .expectResult(MODULE_C_2, INDEPENDENT_MODULE),
                scenario("Selected projects in wrong order are resumed correctly in order")
                        .activeRequiredProjects(MODULE_C_2, MODULE_B, MODULE_A)

FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.

* mount (verb): монтировать
* mount (noun): точка монтирования / mount (keep in English if it's a FastAPI keyword)
* plugin: плагин
* plug-in: плагин
* full stack: full stack (do not translate)
* full-stack: full-stack (do not translate)
* loop (as in async loop): цикл событий
* Machine Learning: Машинное обучение

        }
    }

    /**
     * Gets the timeout for PDF extraction in milliseconds.
     * @return the timeout in milliseconds
     */
    public long getTimeout() {
        return timeout;
    }

    /**
     * Sets the timeout for PDF extraction in milliseconds.
     * @param timeout the timeout in milliseconds
     */
    public void setTimeout(final long timeout) {

   * Contains the link pointers corresponding with the entries, in the range of [0, size()). The
   * high 32 bits of each long is the "prev" pointer, whereas the low 32 bits is the "succ" pointer
   * (pointing to the next entry in the linked list). The pointers in [size(), entries.length) are
   * all "null" (UNSET).
   *
   * <p>A node with "prev" pointer equal to {@code ENDPOINT} is the first node in the linked list,

  }

  public void testEquals_bothExplicitOrdering() {
    SortedSet<String> set = of("in", "the", "a");
    assertEquals(Sets.newTreeSet(asList("in", "the", "a")), set);
    assertFalse(set.equals(Sets.newTreeSet(asList("in", "the", "house"))));
    assertFalse(Sets.newTreeSet(asList("in", "the", "house")).equals(set));
    assertFalse(set.equals(newHashSet(4, 5, 6)));

Lassen Sie uns diese Daten zunächst in das Pydantic-Modell `UserInDB` einfügen.

Sie sollten niemals Klartext-Passwörter speichern, daher verwenden wir ein (gefaktes) Passwort-Hashing-System.

Wenn die Passwörter nicht übereinstimmen, geben wir denselben Fehler zurück.

#### Passwort-Hashing { #password-hashing }

```gradle
dependencies {
  // Pick one:

  // 1. Use Guava in your implementation only:
  implementation("com.google.guava:guava:33.5.0-jre")

  // 2. Use Guava types in your public API:
  api("com.google.guava:guava:33.5.0-jre")

  // 3. Android - Use Guava in your implementation only:
  implementation("com.google.guava:guava:33.5.0-android")

  // 4. Android - Use Guava types in your public API:
  api("com.google.guava:guava:33.5.0-android")