* @param normalizer the normalizer to use for normalizing the search words
     * @param analyzer the analyzer to use for analyzing the search words
     * @param langs the array of languages associated with the search words
     * @return a SuggestItem created from the given search words and associated data
     */

		t.Fatalf("failed to create user: %v", err)
	}

	// Create languages using real database
	langs := []Language{
		{Code: "en", Name: "English"},
		{Code: "fr", Name: "French"},
	}
	for _, lang := range langs {
		DB.FirstOrCreate(&lang, "code = ?", lang.Code)
	}

	// Test Set + Update with many-to-many association
	assocOp := clause.Association{
		Association: "Languages",

    langs = [file.stem for file in material_langs_path.glob("*.html")]
    return langs


class EnFile(File):
    pass


def on_config(config: MkDocsConfig, **kwargs: Any) -> MkDocsConfig:
    available_langs = get_mkdocs_material_langs()
    dir_path = Path(config.docs_dir)
    lang = dir_path.parent.name
    if lang in available_langs:
        config.theme["language"] = lang

     * @param roles The roles.
     * @param num The number.
     * @param langs The languages.
     * @return The SuggestIndexResponse.
     */
    public SuggestIndexResponse indexFromSearchWord(final String searchWord, final String[] fields, final String[] tags,
            final String[] roles, final int num, final String[] langs) {
        if (logger.isDebugEnabled()) {

def get_llm_translatable() -> list[str]:
    translatable_langs = []
    langs = get_langs()
    for lang in langs:
        if lang == "en":
            continue
        lang_prompt_path = Path(f"docs/{lang}/llm-prompt.md")
        if lang_prompt_path.exists():
            translatable_langs.append(lang)
    return translatable_langs


@app.command()
def list_llm_translatable() -> list[str]:

        getQueryLanguages().ifPresent(langs -> stream(langs).of(stream -> stream.forEach(lang -> {
            defaultQuery.add(
                    builder.apply(fessConfig.getIndexFieldTitle() + "_" + lang, fessConfig.getQueryBoostTitleLangAsDecimal().floatValue()));
            defaultQuery.add(builder.apply(fessConfig.getIndexFieldContent() + "_" + lang,

 * governing permissions and limitations under the License.
 */
package org.codelibs.fess.auth;

import static org.codelibs.core.stream.StreamUtil.stream;

import org.apache.commons.lang3.ArrayUtils;
import org.codelibs.core.stream.StreamUtil.StreamOf;
import org.codelibs.fess.auth.chain.AuthenticationChain;
import org.codelibs.fess.opensearch.user.exentity.User;

/**

 * governing permissions and limitations under the License.
 */
package org.codelibs.fess.dict.protwords;

import org.apache.commons.lang3.StringUtils;
import org.codelibs.core.lang.StringUtil;
import org.codelibs.fess.dict.DictionaryItem;

/**
 * Dictionary item for protected words.
 * This class represents a single protected word entry in the dictionary.
 */

 */
package org.codelibs.fess.opensearch.config.exbhv;

import java.util.regex.Pattern;

import org.apache.commons.lang3.RandomUtils;
import org.apache.logging.log4j.LogManager;
import org.apache.logging.log4j.Logger;
import org.codelibs.core.lang.ThreadUtil;
import org.codelibs.fess.opensearch.config.bsbhv.BsScheduledJobBhv;
import org.codelibs.fess.opensearch.config.exentity.ScheduledJob;

        for (Range<Integer> range3 : RANGES) {
          Map<Integer, Integer> model = new HashMap<>();
          putModel(model, range1, 1);
          putModel(model, range2, 2);
          putModel(model, range3, 3);
          RangeMap<Integer, Integer> test = TreeRangeMap.create();
          test.put(range1, 1);
          test.put(range2, 2);
          test.put(range3, 3);
          verify(model, test);
        }