type LazyProc struct {
	mu   sync.Mutex
	Name string
	l    *LazyDLL
	proc *Proc
}

// Find searches [DLL] for procedure named p.Name. It returns
// an error if search fails. Find will not search procedure,
// if it is already found and loaded into memory.
func (p *LazyProc) Find() error {
	// Non-racy version of:
	// if p.proc == nil {

    return when {
      offset >= 0 -> offset * 4 // This section was found by binary search.
      else -> (-offset - 2) * 4 // Not found? Use the preceding element.
    }
  }

  /**
   * Binary search [ranges] for [codePoint], looking at its bottom 7 bits.
   *
   * This binary searches over 4-byte entries, and so it needs to adjust binary search indices
   * in (by dividing by 4) and out (by multiplying by 4).
   */

import org.codelibs.fess.es.query.StoredLtrQueryBuilder;
import org.codelibs.fess.mylasta.direction.FessConfig;
import org.codelibs.fess.util.ComponentUtil;
import org.opensearch.search.rescore.QueryRescorerBuilder;
import org.opensearch.search.rescore.RescorerBuilder;

public class LtrQueryRescorer implements QueryRescorer {

    @Override
    public RescorerBuilder<?> evaluate(final Map<String, Object> params) {

import org.opensearch.action.DocWriteRequest.OpType;
import org.opensearch.action.search.SearchRequestBuilder;
import org.opensearch.action.search.SearchResponse;
import org.opensearch.common.unit.TimeValue;
import org.opensearch.index.query.QueryBuilders;
import org.opensearch.search.SearchHit;
import org.opensearch.search.SearchHits;

                    "operationId": "read_items_items__get",
                    "parameters": [
                        {
                            "description": "Query string for the items to search in the database that have a good match",
                            "required": False,
                            "deprecated": True,
                            "schema": IsDict(
                                {

// Only the first len(key) bytes from the start of the 4-byte entries will be
// considered for the search and the first match in Index will be returned.
func (s Index) Index(key []byte) int {
	n := len(key)
	// search the index of the first entry with an equal or higher value than
	// key in s.
	index := sort.Search(len(s)/4, func(i int) bool {
		return cmp(s[i*4:i*4+n], key) != -1
	})
	i := index * 4

kibana 7 settings for fess
=====

Providing example of kibana settings file for monitoring search logs of fess.

## Install

1. Install and launch Fess.
1. Install and launch kibana.
1. Go to kibana home [http://localhost:5601/](http://localhost:5601/).
1. Click **Management**.
1. Click **Index Patterns**.
1. Click **Create index pattern** button
1. Input "fess\_log\*" to the textbox of **index pattern**.
1. Click **Next step**.

 */
package org.codelibs.fess.query;

import org.apache.logging.log4j.LogManager;
import org.apache.logging.log4j.Logger;
import org.apache.lucene.search.MatchAllDocsQuery;
import org.apache.lucene.search.Query;
import org.codelibs.fess.entity.QueryContext;
import org.opensearch.index.query.QueryBuilder;
import org.opensearch.index.query.QueryBuilders;

	b.WriteByte(' ')
	b.WriteString(key)
	b.WriteByte('=')
	b.WriteString(val)
	w.Write(b.Bytes())
	bufPool.Put(b)
}

func ExamplePool() {
	Log(os.Stdout, "path", "/search?q=flowers")
	// Output: 2006-01-02T15:04:05Z path=/search?q=flowers

        return delegate.add(normalizePath(key), addAction);
    }

    @Override
    public Set<? extends LocallyAvailableResource> search(String key) {
        return delegate.search(normalizeSearchPath(key));
    }