return Collections.emptyList();
            }

            List<AnalyzeToken> tokens = new ArrayList<>();
            String[] words = text.trim().split("[\\s@#$.,!?;:()\\[\\]{}\"']+");

            int position = 0;
            int offset = 0;
            for (String word : words) {
                if (!word.isEmpty()) {
                    int startOffset = text.indexOf(word, offset);

     * @param words the list of popular words
     * @param total the total number of words
     * @param items the list of suggested items
     */
    public PopularWordsResponse(final String index, final long tookMs, final List<String> words, final long total,
            final List<SuggestItem> items) {
        this.index = index;
        this.tookMs = tookMs;
        this.words = words;
        num = words.size();

                final String[] words = SuggestUtil.parseQuery(queryString, field);
                if (words.length == 0) {
                    continue;
                }

                final String[][] readings = new String[words.length][];
                for (int j = 0; j < words.length; j++) {
                    words[j] = normalizer.normalize(words[j], field, "");

        param("env.ANDROID_SDK_ROOT", os.androidHome)
        param("env.GRADLE_INTERNAL_REPO_URL", "%gradle.internal.repository.url%")
        if (os == Os.MACOS && arch == Arch.AMD64) {
            // Use fewer parallel forks only on Intel macOS builds, since they are not very powerful.
            param("maxParallelForks", "2")
        }
        if (os == Os.LINUX || os == Os.MACOS) {
            param("env.LC_ALL", "en_US.UTF-8")
        }

import org.codelibs.fess.suggest.entity.ElevateWord;
import org.opensearch.transport.client.Client;

/**
 * The ElevateWordSettings class manages the settings for elevate words in the suggestion system.
 * It provides methods to retrieve, add, and delete elevate words from the settings.
 *
 * <p>Constants:</p>
 * <ul>
 *   <li>{@code ELEVATE_WORD_SETTINGD_KEY} - The key for elevate word settings.</li>

    /**
     * Returns the list of suggested words.
     * @return The list of words.
     */
    public List<String> getWords() {
        return words;
    }

    /**
     * Returns the number of suggested words.
     * @return The number of words.
     */
    public int getNum() {
        return num;
    }

    /**
     * Returns the total number of hits.
     * @return The total number of hits.
     */

import org.opensearch.transport.client.Client;

/**
 * Represents a request for popular words. This class extends {@link Request} and is parameterized
 * with {@link PopularWordsResponse}. It allows specifying various criteria for retrieving popular words,
 * such as index, size, tags, roles, fields, languages, and exclusion words.
 *
 * <p>Key functionalities include:</p>
 * <ul>
 *   <li>Setting the target index for the search.</li>

			want: "/Users/name/go/pkg/mod/gorm.io/",
		},
		{
			file: "/go/work/proj/gorm/utils/utils.go",
			want: "/go/work/proj/gorm/",
		},
		{
			file: "/go/work/proj/gorm_alias/utils/utils.go",
			want: "/go/work/proj/gorm_alias/",
		},
		{
			file: "/go/work/proj/my.gorm.io/gorm@v1.2.3/utils/utils.go",
			want: "/go/work/proj/my.gorm.io/gorm@v1.2.3/",
		},
	}
	for _, c := range cases {

    }

    /**
     * Returns the total number of words in the suggestion index.
     * @return The total number of words.
     */
    public long getAllWordsNum() {
        return getNum(QueryBuilders.matchAllQuery());
    }

    /**
     * Returns the number of document words in the suggestion index.
     * @return The number of document words.
     */
    public long getDocumentWordsNum() {

            final int code = bytesReader.readVInt();
            final int count = code >>> 1;
            for (int i = 0; i < count; i++) {
                synonymMap.words.get(bytesReader.readVInt(), scratchBytes);
                if (scratchChars.chars.length < scratchBytes.length) {
                    scratchChars.chars = new char[scratchBytes.length];
                }