}
            if (FieldUtil.isPublicField(field)) {
                final PropertyDescImpl pd = new PropertyDescImpl(field.getName(), field.getType(), null, null, field, this);
                propertyDescCache.put(fname, pd);
            }
        }
    }

    private void setFieldAccessible(Field field) {
        if (isExceptPrivateAccessible(field)) {
            return;
        }
        try {

            return buildDefaultQueryBuilder(fessConfig, context, (f, b) -> QueryBuilders.matchPhraseQuery(f, origQuery).boost(b));
        }

        context.addFieldLog(field, termRangeQuery.toString(field));
        final RangeQueryBuilder rangeQuery = QueryBuilders.rangeQuery(field);
        final BytesRef min = termRangeQuery.getLowerTerm();
        if (min != null) {
            if (termRangeQuery.includesLower()) {

import pytest
from dirty_equals import AnyThing, IsOneOf, IsPartialDict
from fastapi import FastAPI, Header
from fastapi.testclient import TestClient
from inline_snapshot import snapshot
from pydantic import BaseModel, Field

app = FastAPI()

# =====================================================================================
# Without aliases


@app.get("/required-list-str")

        final FessConfig fessConfig = ComponentUtil.getFessConfig();
        final String field = getSearchField(context.getDefaultField(), wildcardQuery.getField());
        if (Constants.DEFAULT_FIELD.equals(field)) {
            final String text = wildcardQuery.getTerm().text();
            context.addFieldLog(field, text);
            final String highlightText = StringUtils.strip(text, "*");

         * Normalizes the given text based on the specified field.
         *
         * @param text  the text to normalize
         * @param field the field to use for normalization
         * @param dummy additional parameters (not used)
         * @return the normalized text
         */
        @Override
        public String normalize(final String text, final String field, final String... dummy) {
            if (text == null) {

 * a given text based on the specified field and optional language parameters.
 */
public interface Normalizer {
    /**
     * Normalizes the given text.
     * @param text The text to normalize
     * @param field The field name
     * @param langs The language
     * @return The normalized text
     */
    String normalize(String text, String field, String... langs);

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

    /**
     * Field lifecycles.
     */
    private java.util.List<Lifecycle> lifecycles;

    /**
     * Field modelEncoding.
     */
    private String modelEncoding = "UTF-8";

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

    /**

    void constructor_shouldInitializeFields() throws Exception {
        // Verify configuration is set
        Field configField = NameServicePacket.class.getDeclaredField("config");
        configField.setAccessible(true);
        assertSame(mockConfig, configField.get(response));

        // Verify queryAddress is set
        Field queryAddressField = NodeStatusResponse.class.getDeclaredField("queryAddress");

import pytest
from dirty_equals import AnyThing, IsOneOf, IsPartialDict
from fastapi import FastAPI, Header
from fastapi.testclient import TestClient
from inline_snapshot import snapshot
from pydantic import BaseModel, Field

app = FastAPI()

# =====================================================================================
# Without aliases


@app.get("/required-str")
async def read_required_str(p: Annotated[str, Header()]):

import org.dbflute.optional.OptionalThing;

/**
 * Utility class for managing field configurations with parameter mappings.
 * This class provides functionality to retrieve and manage field-specific configurations
 * from a parameter map.
 */
public class FieldConfigs {

    /**
     * Map containing field names as keys and their corresponding configuration values as values.
     */