sh(d);return a})}},d.pseudos.nth=d.pseudos.eq;for(b in{radio:!0,checkbox:!0,file:!0,password:!0,image:!0})d.pseudos[b]=lb(b);for(b in{submit:!0,reset:!0})d.pseudos[b]=mb(b);function pb(){}pb.prototype=d.filters=d.pseudos,d.setFilters=new pb,g=fb.tokenize=function(a,b){var c,e,f,g,h,i,j,k=z[a+" "];if(k)return b?0:k.slice(0);h=a,i=[],j=d.preFilter;while(h){(!c||(e=S.exec(h)))&&(e&&(h=h.slice(e[0].length)||h),i.push(f=[])),c=!1,(e=T.exec(h))&&(c=e.shift(),f.push({value:c,type:e[0].replace(R," ")}),...

        "tokenizer" : "standard"
      },
      "reading_term_analyzer_mk" : {
        "type" : "custom",
        "tokenizer" : "standard"
      },
      "normalize_analyzer_mk" : {
        "type" : "custom",
        "tokenizer" : "keyword",
        "char_filter" : ["mapping_char"],
        "filter" : ["lowercase"]
      },
      "contents_analyzer_mk" : {
        "type" : "custom",
        "tokenizer" : "standard",

 * use a tokenizer to process the input.
 *
 * <p>
 * The class provides methods to initialize the converter, convert strings, and
 * check if a tokenizer is enabled. It also includes methods to create a token
 * stream and extract reading information from the stream's attributes, although
 * the tokenizer-related functionality is currently commented out.
 * </p>
 */

            @Override
            protected TokenStreamComponents createComponents(final String fieldName) {
                final Tokenizer tokenizer = new KeywordTokenizer();
                final TokenStream stream = ignoreCase ? new LowerCaseFilter(tokenizer) : tokenizer;
                return new TokenStreamComponents(tokenizer, stream);
            }
        };
    }

import java.io.IOException;
import java.io.StringReader;
import java.util.HashSet;
import java.util.List;
import java.util.Set;

import org.apache.lucene.analysis.Tokenizer;
import org.apache.lucene.analysis.ja.JapaneseTokenizer;
import org.apache.lucene.analysis.ja.JapaneseTokenizer.Mode;
import org.apache.lucene.analysis.ja.dict.UserDictionary;
import org.apache.lucene.analysis.util.CSVUtil;

 * either express or implied. See the License for the specific language
 * governing permissions and limitations under the License.
 */
package org.codelibs.opensearch.extension.analysis;

import org.apache.lucene.analysis.Tokenizer;
import org.opensearch.common.settings.Settings;
import org.opensearch.env.Environment;
import org.opensearch.index.IndexSettings;
import org.opensearch.index.analysis.AbstractTokenizerFactory;

/**

        List<AnalyzeToken> tokens = analyzer.analyzeAndReading(text, field, lang);

        assertNotNull(tokens);
        assertEquals(2, tokens.size()); // "Test123" and "ABC-456" (hyphen is not a split char in our tokenizer)
        assertEquals("Test123", tokens.get(0).getTerm());
        assertEquals("ABC-456", tokens.get(1).getTerm());
        assertEquals("TEST123", ((TestAnalyzeToken) tokens.get(0)).getReading());

                .put("analysis.analyzer.test_reading_analyzer.tokenizer", "standard")
                .put("analysis.analyzer.test_reading_term_analyzer.type", "custom")
                .put("analysis.analyzer.test_reading_term_analyzer.tokenizer", "standard")
                .put("analysis.analyzer.test_reading_analyzer_ja.type", "custom")
                .put("analysis.analyzer.test_reading_analyzer_ja.tokenizer", "keyword")

 */

import java.io.IOException;
import java.util.ArrayList;
import java.util.Comparator;
import java.util.List;
import java.util.PriorityQueue;

import org.apache.lucene.analysis.Tokenizer;
import org.apache.lucene.analysis.synonym.SynonymMap;
import org.apache.lucene.analysis.tokenattributes.CharTermAttribute;
import org.apache.lucene.analysis.tokenattributes.OffsetAttribute;