import org.opensearch.OpenSearchException;
import org.opensearch.common.settings.Settings;
import org.opensearch.env.Environment;
import org.opensearch.index.IndexSettings;
import org.opensearch.index.analysis.AbstractTokenizerFactory;
import org.opensearch.index.analysis.Analysis;

public class KuromojiTokenizerFactory extends AbstractTokenizerFactory {

    private static final String USER_DICT_PATH_OPTION = "user_dictionary";

      @Nullable Object key, @Nullable ImmutableMapEntry<?, V> @Nullable [] keyTable, int mask) {
    if (key == null || keyTable == null) {
      return null;
    }
    int index = Hashing.smear(key.hashCode()) & mask;
    for (ImmutableMapEntry<?, V> entry = keyTable[index];
        entry != null;
        entry = entry.getNextInKeyBucket()) {
      Object candidateKey = entry.getKey();

      /*

    //                                                                              Index
    //                                                                      ==============
    /**
     * Show the index page.
     * @return The HTML response.
     */
    @Execute
    @Secured({ ROLE })
    public HtmlResponse index() {
        searchEngineApiManager.saveToken();

import org.codelibs.analysis.ja.StopTokenPrefixFilter;
import org.opensearch.common.settings.Settings;
import org.opensearch.env.Environment;
import org.opensearch.index.IndexSettings;
import org.opensearch.index.analysis.AbstractTokenFilterFactory;
import org.opensearch.index.analysis.Analysis;

public class StopTokenPrefixFilterFactory extends AbstractTokenFilterFactory {

    private final String[] stopwords;

#!/bin/bash

helm package helm/minio -d helm-releases/

      int hash = map.hash(key);
      int index = hash & (table.length() - 1);
      ReferenceEntry<Object, Object> first = table.get(index);
      entry = map.newEntry(key, hash, first);
      ValueReference<Object, Object> valueRef = map.newValueReference(entry, value, 1);
      entry.setValueReference(valueRef);
      segment.recordWrite(entry, 1, map.ticker.read());
      table.set(index, entry);
      originalMap.put(key, value);

import org.opensearch.index.query.RangeQueryBuilder;
import org.opensearch.index.query.RegexpQueryBuilder;
import org.opensearch.index.query.SpanTermQueryBuilder;
import org.opensearch.index.query.TermQueryBuilder;
import org.opensearch.index.query.TermsQueryBuilder;
import org.opensearch.index.query.WildcardQueryBuilder;
import org.opensearch.index.query.functionscore.FunctionScoreQueryBuilder;

    checkArgument(values.length > 0);
    double mean = values[0];
    for (int index = 1; index < values.length; index++) {
      double value = values[index];
      if (isFinite(value) && isFinite(mean)) {
        // Art of Computer Programming vol. 2, Knuth, 4.2.2, (15)
        mean += (value - mean) / (index + 1);
      } else {
        mean = calculateNewMeanNonFinite(mean, value);
      }
    }

{"index":{"_index":"fess_user.role","_id":"YWRtaW4="}}
{"name":"admin"}
{"index":{"_index":"fess_user.role","_id":"Z3Vlc3Q="}}

        this.index = index;
        this.tookMs = tookMs;
        this.words = words;
        num = words.size();
        this.total = total;
        this.items = items;
    }

    /**
     * Returns the index associated with the response.
     *
     * @return the index
     */
    public String getIndex() {
        return index;
    }

    /**