<match value="0x0004" type="string" offset="16"/>
      </match>
    </magic>
  </mime-type>
  <mime-type type="application/x-mmm-digisonde">
    <_comment>Modified Maximum Method Digisonde Portable Sounder File format</_comment>
    <tika:link>http://www.alliancepermanentaccess.org/wp-content/uploads/temp/ionosonde-case-study.pdf</tika:link>
    <magic priority="50">

import org.jspecify.annotations.Nullable;

/**
 * An iterator that transforms a backing iterator; for internal use. This avoids the object overhead
 * of constructing a {@link com.google.common.base.Function Function} for internal methods.
 *
 * @author Louis Wasserman
 */
@GwtCompatible
abstract class TransformedIterator<F extends @Nullable Object, T extends @Nullable Object>
    implements Iterator<T> {
  final Iterator<? extends F> backingIterator;

        // Verify that the policyHandle passed to the constructor is the one used
        // This is implicitly tested by the object being constructed without errors.
        // If LsaPolicyHandle had methods called by the constructor, we would verify those calls.
    }

 */
@DisplayName("Configuration Interface Tests")
class ConfigurationTest extends BaseTest {

    @Mock
    private Configuration mockConfig;

    @Test
    @DisplayName("Should define all configuration methods")
    void testConfigurationInterface() {
        assertDoesNotThrow(() -> {
            mockConfig.getRandom();
            mockConfig.getDfsTtl();
            mockConfig.isDfsStrictView();

import org.codelibs.fess.crawler.entity.AccessResultData;
import org.codelibs.fess.crawler.entity.ResponseData;
import org.codelibs.fess.crawler.entity.ResultData;

/**
 * The Transformer interface defines methods for transforming response data
 * and retrieving data from access results.
 */
public interface Transformer {

    /**
     * Transforms the given ResponseData into a ResultData.
     *

`user_in` ist ein Pydantic-Modell der Klasse `UserIn`.

Pydantic-Modelle haben eine `.dict()`-Methode, die ein `dict` mit den Daten des Modells zurückgibt.

Wenn wir also ein Pydantic-Objekt `user_in` erstellen, etwa so:

```Python
user_in = UserIn(username="john", password="secret", email="******@****.***")
```

und wir rufen seine `.dict()`-Methode auf:

```Python
user_dict = user_in.dict()
```

        assertEquals(option1.getFieldNaming(), option2.getFieldNaming());
    }

    public void test_allMethodsReturnExpectedValues() {
        // Comprehensive test to verify all methods return expected values
        FessJsonResourceProvider testProvider = new FessJsonResourceProvider();

        // Verify nulls suppression is enabled

import jakarta.validation.constraints.Size;

/**
 * Base search form class that extends SearchRequestParams.
 * Provides form fields and methods for handling search requests in the web interface.
 * Contains validation constraints and convenience methods for parameter processing.
 */
public class SearchForm extends SearchRequestParams {

    /**
     * Map of additional search fields with their values.
     */

# Body - Обновления

## Полное обновление с помощью `PUT`

Для полного обновления элемента можно воспользоваться операцией <a href="https://developer.mozilla.org/en-US/docs/Web/HTTP/Methods/PUT" class="external-link" target="_blank">HTTP `PUT`</a>.

Вы можете использовать функцию `jsonable_encoder` для преобразования входных данных в JSON, так как нередки случаи, когда работать можно только с простыми типами данных (например, для хранения в NoSQL-базе данных).

 */
package org.codelibs.fess.auth.chain;

import org.codelibs.fess.opensearch.user.exentity.User;

/**
 * Interface for authentication chain operations.
 * Provides methods for user management and authentication operations.
 */
public interface AuthenticationChain {

    /**
     * Updates an existing user in the authentication chain.
     * @param user The user to update.
     */