*       array. This hashing API accepts an arbitrary sequence of byte and multibyte values (via
 *       {@link Hasher}), but this is merely a convenience; these are always translated into raw
 *       byte sequences under the covers.
 *   <li><b>hash code:</b> each hash function always yields hash codes of the same fixed bit length
 *       (given by {@link #bits}). For example, {@link Hashing#sha1} produces a 160-bit number,

  @Override
  protected Map<String, String> makeEmptyMap() {
    return transformValues(new HashMap<String, String>(), Functions.<String>identity());
  }

  @Override
  protected Map<String, String> makePopulatedMap() {
    Map<String, Integer> underlying = new HashMap<>();
    underlying.put("a", 1);
    underlying.put("b", 2);
    underlying.put("c", 3);

 * either express or implied. See the License for the specific language
 * governing permissions and limitations under the License.
 */
package org.codelibs.fess.rank.fusion;

import java.util.HashMap;
import java.util.List;
import java.util.Locale;
import java.util.Map;

import org.apache.lucene.search.TotalHits.Relation;
import org.codelibs.fess.entity.FacetInfo;
import org.codelibs.fess.entity.GeoInfo;

Sie sollten niemals Klartext-Passwörter speichern, daher verwenden wir ein (gefaktes) Passwort-Hashing-System.

Wenn die Passwörter nicht übereinstimmen, geben wir denselben Fehler zurück.

#### Passwort-Hashing { #password-hashing }

„Hashing“ bedeutet: Konvertieren eines Inhalts (in diesem Fall eines Passworts) in eine Folge von Bytes (ein schlichter String), die wie Kauderwelsch aussieht.

Let's put that data in the Pydantic `UserInDB` model first.

You should never save plaintext passwords, so, we'll use the (fake) password hashing system.

If the passwords don't match, we return the same error.

#### Password hashing { #password-hashing }

"Hashing" means: converting some content (a password in this case) into a sequence of bytes (just a string) that looks like gibberish.

import java.io.IOException;
import java.io.ObjectInputStream;
import java.io.ObjectOutputStream;
import java.util.EnumMap;
import java.util.HashMap;
import java.util.Map;
import org.jspecify.annotations.Nullable;

/**
 * A {@code BiMap} backed by an {@code EnumMap} instance for keys-to-values, and a {@code HashMap}
 * instance for values-to-keys. Null keys are not permitted, but null values are. An {@code

import static org.junit.jupiter.api.Assertions.assertEquals;
import static org.junit.jupiter.api.Assertions.assertTrue;
import static org.junit.jupiter.api.Assertions.fail;

import java.util.ArrayList;
import java.util.HashMap;
import java.util.List;
import java.util.Map;

import org.apache.logging.log4j.LogManager;
import org.apache.logging.log4j.Logger;
import org.codelibs.core.lang.ThreadUtil;

     *
     * @param <KEY> the key type of the <code>Map</code>
     * @param <VALUE> the value type of the <code>Map</code>
     * @param key the key to be added to the <code>Map</code>
     * @param value the value to be added to the <code>Map</code>
     * @return a {@literal Maps} for constructing a {@link HashMap} with the specified key and value
     */

Önce bu veriyi Pydantic `UserInDB` modeline koyalım.

Asla düz metin (plaintext) password kaydetmemelisiniz; bu yüzden (sahte) password hashing sistemini kullanacağız.

Password’ler eşleşmezse, aynı hatayı döndürürüz.

#### Password hashing { #password-hashing }

"Hashing" şudur: bir içeriği (bu örnekte password) anlaşılmaz görünen bayt dizisine (yani bir string’e) dönüştürmek.

        assertEquals(0, (int) StreamUtil.stream(o).get(s -> s.toArray().length));
        Map<Object, Object> map = new HashMap<Object, Object>();
        assertEquals(0, (int) StreamUtil.stream(map).get(s -> s.toArray().length));
    }

    public void test_ofMap() {
        Map<String, String> map = new HashMap<String, String>();
        map.put("key1", "value1");
        map.put("key2", "value2");