final String[] fields = getParamValueArray(request, "facet.field");
        final String[] queries = getParamValueArray(request, "facet.query");
        if (fields.length == 0 && queries.length == 0) {
            return null;
        }
        final FacetInfo facetInfo = new FacetInfo();
        facetInfo.field = fields;
        facetInfo.query = queries;

import static org.junit.jupiter.api.Assertions.assertNotNull;
import static org.junit.jupiter.api.Assertions.assertThrows;
import static org.junit.jupiter.api.Assertions.assertTrue;

import java.lang.reflect.Field;

import org.junit.jupiter.api.BeforeEach;
import org.junit.jupiter.api.Test;
import org.junit.jupiter.params.ParameterizedTest;
import org.junit.jupiter.params.provider.ValueSource;
import org.mockito.Mock;

public class CoreExtensionsXpp3Writer {

    // --------------------------/
    // - Class/Member Variables -/
    // --------------------------/

    /**
     * Field NAMESPACE.
     */
    private static final String NAMESPACE = null;

    /**
     * Field fileComment.
     */
    private String fileComment = null;

    // -----------/
    // - Methods -/
    // -----------/

    /**

你可以按如下方式设置它们：

 * is mapped to an equally named property of the bean and converted. The properties of the bean are supposed to either
 * have a public setter or be backed by an equally named field (of any visibility).
 *
 * @since 3.0
 */
public interface BeanConfigurator {

    /**
     * Performs the specified bean configuration.
     *

    @Required
    @Size(max = 100)
    public String name;

    /**
     * The password for the user.
     */
    @Size(max = 100)
    public String password;

    /**
     * The password confirmation field.
     */
    @Size(max = 100)
    public String confirmPassword;

    /**
     * The attributes map for the user.
     */
    public Map<String, String> attributes = new HashMap<>();

    /**

{* ../../docs_src/query_param_models/tutorial001_an_py310.py hl[9:13,17] *}

**FastAPI** will **extract** the data for **each field** from the **query parameters** in the request and give you the Pydantic model you defined.

## Check the Docs { #check-the-docs }

You can see the query parameters in the docs UI at `/docs`:

<div class="screenshot">

                // facet field
                if (facetResponse.getFieldList() != null) {
                    facetField = facetResponse.getFieldList().stream().map(field -> {
                        final Map<String, Object> fieldMap = new HashMap<>(2, 1f);
                        fieldMap.put("name", field.getName());
                        fieldMap.put("result", field.getValueCountMap().entrySet().stream().map(e -> {

1. Click **Management**.
1. Click **Index Patterns**.
1. Click **Create index pattern** button
1. Input "fess\_log\*" to the textbox of **index pattern**.
1. Click **Next step**.
1. Set "requestedAt" to the **Time Filter field name**.
1. Click **Create index pattern**.
1. Click **Saved Objects**.
1. Click **Import** and select "fess\_log.ndjson" to import example settings.
1. Click **Dashboard**.
1. Select "fess\_log" dashboard.

   * restrictions</i>.
   */
  @Retention(RetentionPolicy.CLASS)
  @Target({ElementType.TYPE, ElementType.METHOD, ElementType.CONSTRUCTOR, ElementType.FIELD})
  @Documented
  @interface GwtIncompatible {
    String value();
  }

  private Partially() {}