import org.lastaflute.di.core.exception.ComponentNotFoundException;

import jakarta.annotation.PostConstruct;

/**
 * Helper class for document processing and manipulation in the Fess search system.
 * This class provides utilities for processing document content, titles, and digests,
 * handling text normalization, content extraction, and similar document hash encoding/decoding.

## Add regular expressions { #add-regular-expressions }

You can define a <dfn title="A regular expression, regex or regexp is a sequence of characters that define a search pattern for strings.">regular expression</dfn> `pattern` that the parameter should match:

{* ../../docs_src/query_params_str_validations/tutorial004_an_py310.py hl[11] *}

import org.dbflute.optional.OptionalEntity;
import org.xml.sax.Attributes;
import org.xml.sax.InputSource;
import org.xml.sax.SAXException;
import org.xml.sax.helpers.DefaultHandler;

/**
 * Parser for Google Search Appliance (GSA) configuration files.
 * This SAX-based parser reads GSA XML configuration files and converts them into
 * Fess configuration objects including web crawling configurations, file crawling

=== ":material-language-kotlin: Kotlin"
    ```kotlin
      private val client = OkHttpClient()

      fun run() {
        val formBody = FormBody.Builder()
            .add("search", "Jurassic Park")
            .build()
        val request = Request.Builder()
            .url("https://en.wikipedia.org/w/index.php")
            .post(formBody)
            .build()

		var retries int
		retryIntvl := h.config.RetryIntvl
		if retryIntvl <= 0 {
			retryIntvl = 3 * time.Second
		}

		maxRetries := h.config.MaxRetry

	retry:
		// If the channel reaches above half capacity
		// we spawn more workers. The workers spawned
		// from this main worker routine will exit
		// once the channel drops below half capacity
		// and when it's been at least 30 seconds since

	// Prefer Equal to Compare for equality comparisons.
	if bytes.Equal(a, b) {
		// a equal b
	}
	if !bytes.Equal(a, b) {
		// a not equal b
	}
}

func ExampleCompare_search() {
	// Binary search to find a matching byte slice.
	var needle []byte
	var haystack [][]byte // Assume sorted
	_, found := slices.BinarySearchFunc(haystack, needle, bytes.Compare)
	if found {
		// Found it!
	}
}

import org.dbflute.optional.OptionalEntity;
import org.junit.jupiter.api.Test;
import org.junit.jupiter.api.TestInfo;
import org.opensearch.index.query.QueryBuilder;
import org.opensearch.search.sort.FieldSortBuilder;

public class CrawlingConfigHelperTest extends UnitFessTestCase {
    private CrawlingConfigHelper crawlingConfigHelper;

    @Override
    protected void setUp(TestInfo testInfo) throws Exception {

   *       </ul>
   *   <li>another java.util.Set delegate implementation. In most modern JDKs, normal java.util hash
   *       collections intelligently fall back to a binary search tree if hash table collisions are
   *       detected. Rather than going to all the trouble of reimplementing this ourselves, we
   *       simply switch over to use the JDK implementation wholesale if probable hash flooding is

   *
   * <p>Due to the property that values in a BiMap are unique, this will tend to execute in
   * faster-than-linear time.
   *
   * @param value the object to search for in the values of this BiMap
   * @return true if a mapping exists from a key to the specified value
   */
  @Override
  public boolean containsValue(@Nullable Object value) {

  public Splitter omitEmptyStrings() {
    return new Splitter(strategy, true, trimmer, limit);
  }

  /**
   * Returns a splitter that behaves equivalently to {@code this} splitter but stops splitting after
   * it reaches the limit. The limit defines the maximum number of items returned by the iterator,
   * or the maximum size of the list returned by {@link #splitToList}.
   *