import org.opensearch.search.SearchHit;
import org.opensearch.search.SearchHits;
import org.opensearch.search.sort.SortBuilder;

import com.google.common.hash.HashFunction;
import com.google.common.hash.Hashing;

import jakarta.annotation.Resource;

/**
 * Abstract base class for crawler services that interact with OpenSearch.
 *
 * @author shinsuke
 *
 */
public abstract class AbstractCrawlerService {

   * nor do its entries support {@link Entry#setValue setValue}.
   */
  Map<K, Collection<V>> asMap();

  // Comparison and hashing

  /**
   * Compares the specified object with this multimap for equality. Two multimaps are equal when
   * their map views, as returned by {@link #asMap}, are also equal.
   *

   * can hold setSize elements with the desired load factor. Always returns at least setSize + 2.
   */
  // TODO(cpovirk): Move to Hashing or something, since it's used elsewhere in the Android version.
  static int chooseTableSize(int setSize) {
    setSize = max(setSize, 2);
    // Correct the size for open addressing to match desired load factor.

 * limitations under the License.
 */

package com.google.common.hash;

import static com.google.common.hash.Hashing.md5;
import static com.google.common.hash.Hashing.sha1;
import static com.google.common.hash.Hashing.sha256;
import static com.google.common.hash.Hashing.sha384;
import static com.google.common.hash.Hashing.sha512;
import static com.google.common.truth.Truth.assertThat;
import static java.nio.charset.StandardCharsets.UTF_8;

import static com.google.common.hash.Hashing.adler32;
import static com.google.common.hash.Hashing.crc32;
import static com.google.common.hash.Hashing.farmHashFingerprint64;
import static com.google.common.hash.Hashing.goodFastHash;
import static com.google.common.hash.Hashing.md5;
import static com.google.common.hash.Hashing.murmur3_128;
import static com.google.common.hash.Hashing.murmur3_32;

 * limitations under the License.
 */

package com.google.common.hash;

import static com.google.common.hash.Hashing.md5;
import static com.google.common.hash.Hashing.sha1;
import static com.google.common.hash.Hashing.sha256;
import static com.google.common.hash.Hashing.sha384;
import static com.google.common.hash.Hashing.sha512;
import static com.google.common.truth.Truth.assertThat;
import static java.nio.charset.StandardCharsets.UTF_8;

///

## Password hashing { #password-hashing }

"Hashing", bazı içerikleri (bu örnekte bir password) anlamsız görünen bir bayt dizisine (pratikte bir string) dönüştürmek demektir.

Aynı içeriği (aynı password'ü) her seferinde verirseniz, her seferinde aynı anlamsız çıktıyı elde edersiniz.

Ancak bu anlamsız çıktıdan geri password'e dönüştürme yapılamaz.

### Neden password hashing kullanılır { #why-use-password-hashing }

Vamos colocar esses dados primeiro no modelo `UserInDB` do Pydantic.

Você nunca deve salvar senhas em texto simples, portanto, usaremos o sistema de hashing de senhas (falsas).

Se as senhas não corresponderem, retornaremos o mesmo erro.

#### Hashing de senha { #password-hashing }

"Hashing" significa: converter algum conteúdo (uma senha neste caso) em uma sequência de bytes (apenas uma string) que parece algo sem sentido.

# OAuth2 mit Passwort (und Hashing), Bearer mit JWT-Tokens { #oauth2-with-password-and-hashing-bearer-with-jwt-tokens }

Da wir nun über den gesamten Sicherheitsablauf verfügen, machen wir die Anwendung tatsächlich sicher, indem wir <abbr title="JSON Web Tokens">JWT</abbr>-Tokens und sicheres Passwort-Hashing verwenden.

Diesen Code können Sie tatsächlich in Ihrer Anwendung verwenden, die Passwort-Hashes in Ihrer Datenbank speichern, usw.

# OAuth2 con Password (y hashing), Bearer con tokens JWT { #oauth2-with-password-and-hashing-bearer-with-jwt-tokens }

Ahora que tenemos todo el flujo de seguridad, hagamos que la aplicación sea realmente segura, usando tokens <abbr title="JSON Web Tokens">JWT</abbr> y hashing de contraseñas seguras.

Este código es algo que puedes usar realmente en tu aplicación, guardar los hashes de las contraseñas en tu base de datos, etc.